初始化项目，由ModelHub XC社区提供模型
Model: TIGER-Lab/One-Shot-CFT-Math-Qwen-14B Source: Original Platform
This commit is contained in:
ModelHub XC
49
.gitattributes
vendored
Normal file
49
.gitattributes
vendored
Normal file
@@ -0,0 +1,49 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
||||
*.tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
*.db* filter=lfs diff=lfs merge=lfs -text
|
||||
*.ark* filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.gguf* filter=lfs diff=lfs merge=lfs -text
|
||||
*.ggml filter=lfs diff=lfs merge=lfs -text
|
||||
*.llamafile* filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
66
README.md
Normal file
66
README.md
Normal file
@@ -0,0 +1,66 @@
|
||||
---
|
||||
base_model:
|
||||
- Qwen/Qwen2.5-14B
|
||||
language:
|
||||
- en
|
||||
tags:
|
||||
- One-Shot-CFT
|
||||
pipeline_tag: text-generation
|
||||
library_name: transformers
|
||||
license: cc-by-4.0
|
||||
---
|
||||
|
||||
# One-Shot-CFT: Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem
|
||||
|
||||
<p align="center">
|
||||
<a href="https://github.com/TIGER-AI-Lab/One-Shot-CFT" target="_blank">💻 Code</a> |
|
||||
<a href="https://arxiv.org/pdf/2506.03295" target="_blank">📄 Paper</a> |
|
||||
<a href="https://huggingface.co/datasets/TIGER-Lab/One-Shot-CFT-Data" target="_blank">📊 Dataset</a> |
|
||||
<a href="https://huggingface.co/collections/TIGER-Lab/one-shot-cft-683fbb4d2bcf698dbea8fb21" target="_blank">🤗 Model</a> |
|
||||
<a href="https://tiger-ai-lab.github.io/One-Shot-CFT/" target="_blank">🌐 Project Page</a>
|
||||
</p>
|
||||
|
||||
|
||||
|
||||
## 🧠 Overview
|
||||
|
||||
One-Shot Critique Fine-Tuning (CFT) is a simple, robust, and compute-efficient training paradigm for unleashing the reasoning capabilities of pretrained LLMs in both mathematical and logical domains. By leveraging critiques on just one problem, One-Shot CFT enables models like Qwen and LLaMA to match or even outperform reinforcement learning, while using 20× less compute.
|
||||
|
||||
Instead of learning from reference answers (as in supervised fine-tuning) or reward signals (as in reinforcement learning), One-Shot CFT enables models to learn from critiques of diverse solutions to a single problem, enhancing their exposure to varied reasoning patterns and mitigating overfitting. This exposes the LLMs to multiple perspectives and error types, thereby more effectively unleashing their reasoning potential.
|
||||
|
||||
|
||||
## ✨ Key Highlights
|
||||
|
||||
- **Unleashes Reasoning with One Example:** One-Shot CFT uses critiques of diverse model-generated solutions to a single problem to significantly boost performance across math and logic tasks. For example, with just 5 GPU hours of training on Qwen2.5-Math-7B, One-Shot CFT achieves an average improvement of +15% on six math benchmarks and +16% on three logic reasoning benchmarks.
|
||||
- **Outperforms RLVR and Full SFT with 20× Less Compute:** One-Shot CFT outperforms both one-shot Reinforcement Learning with Verifiable Rewards (RLVR) and full-dataset supervised fine-tuning, while requiring only 5 GPU hours on a 7B model—offering a much more efficient and stable training alternative.
|
||||
- **Robust Across Seeds and Model Scales:** One-Shot CFT remains effective across different seed problem choices and model sizes—from 1.5B to 14B parameters—demonstrating strong generalization and scalability.
|
||||
|
||||
**This specific model is the One-Shot CFT variant trained based on [Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) with [DSR-CFT-p0](https://huggingface.co/datasets/TIGER-Lab/One-Shot-CFT-Data) dataset.**
|
||||
|
||||
|
||||
## Main Results
|
||||
|
||||
<p align="center">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/636a35eff8d9af4aea181608/DCxRSdeDrv-Db4VLuEl0T.png" alt="CFT Performance Comparison" width="1100"/>
|
||||
</p>
|
||||
|
||||
<p align="center"><em>
|
||||
One-shot CFT consistently improves mathematical and logical reasoning.
|
||||
<strong>Left:</strong> Average accuracy on six mathematical reasoning benchmarks for Qwen and LLaMA models, comparing base, SFT, RLVR, and CFT with only one training example.
|
||||
<strong>Right:</strong> In-domain accuracy on three logic reasoning benchmarks (BBEH subtasks) for Qwen2.5-Math-7B.
|
||||
Across both domains, CFT with a single problem significantly outperforms standard SFT and matches or exceeds reinforcement learning with much lower compute.
|
||||
</em></p>
|
||||
|
||||
|
||||
## Citation
|
||||
|
||||
If you find our work helpful, please cite it as:
|
||||
|
||||
```bibtex
|
||||
@article{wang2025unleashing,
|
||||
title={Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem},
|
||||
author={Wang, Yubo and Nie, Ping and Zou, Kai and Wu, Lijun and Chen, Wenhu},
|
||||
journal={arXiv preprint arXiv:2506.03295},
|
||||
year={2025}
|
||||
}
|
||||
```
|
||||
24
added_tokens.json
Normal file
24
added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"</tool_call>": 151658,
|
||||
"<tool_call>": 151657,
|
||||
"<|box_end|>": 151649,
|
||||
"<|box_start|>": 151648,
|
||||
"<|endoftext|>": 151643,
|
||||
"<|file_sep|>": 151664,
|
||||
"<|fim_middle|>": 151660,
|
||||
"<|fim_pad|>": 151662,
|
||||
"<|fim_prefix|>": 151659,
|
||||
"<|fim_suffix|>": 151661,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
||||
"<|video_pad|>": 151656,
|
||||
"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
29
config.json
Normal file
29
config.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151643,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 5120,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 13824,
|
||||
"max_position_embeddings": 131072,
|
||||
"max_window_layers": 48,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 40,
|
||||
"num_hidden_layers": 48,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": 131072,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.51.3",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 152064
|
||||
}
|
||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
||||
{"framework": "pytorch", "task": "others", "allow_remote": true}
|
||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151643,
|
||||
"max_new_tokens": 8192,
|
||||
"transformers_version": "4.51.3"
|
||||
}
|
||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model-00001-of-00006.safetensors
Normal file
3
model-00001-of-00006.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2a9fc09e7ce70fe504ccd141c71897665ed05e14e054e89c283e4fd9e87011ca
|
||||
size 4986211280
|
||||
3
model-00002-of-00006.safetensors
Normal file
3
model-00002-of-00006.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0b72d7319d3cd05ee3f00b8893351706e7269f418c757fbb26874630b05be857
|
||||
size 4954847344
|
||||
3
model-00003-of-00006.safetensors
Normal file
3
model-00003-of-00006.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:239abc1ee1fc6ce4f14f1d91b377f1837a1842329315508e6e275985a6206b20
|
||||
size 4954847392
|
||||
3
model-00004-of-00006.safetensors
Normal file
3
model-00004-of-00006.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b8d79837250b6e3f62857643404004d1d5235187a38cf5018d2dbf6c0dc35201
|
||||
size 4954847392
|
||||
3
model-00005-of-00006.safetensors
Normal file
3
model-00005-of-00006.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4c614d377a93ad4ecff488334bf6f463a31d26bbab982b88cb3e6df398a26dba
|
||||
size 4954847392
|
||||
3
model-00006-of-00006.safetensors
Normal file
3
model-00006-of-00006.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d89a206612ecba703945f3aba80d54fd5d34ec3959c39f79357e212053651108
|
||||
size 4734533160
|
||||
586
model.safetensors.index.json
Normal file
586
model.safetensors.index.json
Normal file
@@ -0,0 +1,586 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 29540067328
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00006-of-00006.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.28.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.29.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.30.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.30.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.31.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.32.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.33.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.33.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.33.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.33.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.33.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.33.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
||||
"model.layers.33.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
||||
"model.layers.34.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.35.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.36.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.37.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.38.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.39.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.40.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.40.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.41.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.42.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.42.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.42.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.42.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.42.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.42.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.42.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.42.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.42.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.42.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.42.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
||||
"model.layers.42.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
||||
"model.layers.43.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.43.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.44.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.45.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.46.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
||||
"model.layers.47.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.norm.weight": "model-00006-of-00006.safetensors"
|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
208
tokenizer_config.json
Normal file
208
tokenizer_config.json
Normal file
@@ -0,0 +1,208 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
634
trainer_state.json
Normal file
634
trainer_state.json
Normal file
@@ -0,0 +1,634 @@
|
||||
{
|
||||
"best_global_step": null,
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 59.7710843373494,
|
||||
"eval_steps": 10,
|
||||
"global_step": 60,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 0.7710843373493976,
|
||||
"grad_norm": 3.914616675051536,
|
||||
"learning_rate": 5.000000000000001e-07,
|
||||
"loss": 0.6485056281089783,
|
||||
"memory(GiB)": 76.1,
|
||||
"step": 1,
|
||||
"token_acc": 0.8288129939443704,
|
||||
"train_speed(iter/s)": 0.00248
|
||||
},
|
||||
{
|
||||
"epoch": 1.7710843373493976,
|
||||
"grad_norm": 7.135952401058273,
|
||||
"learning_rate": 1.0000000000000002e-06,
|
||||
"loss": 1.306803822517395,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 2,
|
||||
"token_acc": 0.8355539032171605,
|
||||
"train_speed(iter/s)": 0.002291
|
||||
},
|
||||
{
|
||||
"epoch": 2.7710843373493974,
|
||||
"grad_norm": 7.25317611851469,
|
||||
"learning_rate": 1.5e-06,
|
||||
"loss": 1.2851154804229736,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 3,
|
||||
"token_acc": 0.834915035973237,
|
||||
"train_speed(iter/s)": 0.002247
|
||||
},
|
||||
{
|
||||
"epoch": 3.7710843373493974,
|
||||
"grad_norm": 6.865015999508222,
|
||||
"learning_rate": 2.0000000000000003e-06,
|
||||
"loss": 1.290574073791504,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 4,
|
||||
"token_acc": 0.8338767344065504,
|
||||
"train_speed(iter/s)": 0.002214
|
||||
},
|
||||
{
|
||||
"epoch": 4.771084337349397,
|
||||
"grad_norm": 6.57767604145361,
|
||||
"learning_rate": 2.5e-06,
|
||||
"loss": 1.261496901512146,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 5,
|
||||
"token_acc": 0.8348027461456405,
|
||||
"train_speed(iter/s)": 0.0022
|
||||
},
|
||||
{
|
||||
"epoch": 5.771084337349397,
|
||||
"grad_norm": 5.131561904948073,
|
||||
"learning_rate": 3e-06,
|
||||
"loss": 1.20093834400177,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 6,
|
||||
"token_acc": 0.8447540089861448,
|
||||
"train_speed(iter/s)": 0.002191
|
||||
},
|
||||
{
|
||||
"epoch": 6.771084337349397,
|
||||
"grad_norm": 4.169361922366313,
|
||||
"learning_rate": 3.5e-06,
|
||||
"loss": 1.118795394897461,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 7,
|
||||
"token_acc": 0.845426595733518,
|
||||
"train_speed(iter/s)": 0.002187
|
||||
},
|
||||
{
|
||||
"epoch": 7.771084337349397,
|
||||
"grad_norm": 4.513043229540615,
|
||||
"learning_rate": 4.000000000000001e-06,
|
||||
"loss": 1.0338046550750732,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 8,
|
||||
"token_acc": 0.8524168712340995,
|
||||
"train_speed(iter/s)": 0.00218
|
||||
},
|
||||
{
|
||||
"epoch": 8.771084337349398,
|
||||
"grad_norm": 5.185455486257246,
|
||||
"learning_rate": 4.5e-06,
|
||||
"loss": 0.9289287328720093,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 9,
|
||||
"token_acc": 0.8699944903581267,
|
||||
"train_speed(iter/s)": 0.002177
|
||||
},
|
||||
{
|
||||
"epoch": 9.771084337349398,
|
||||
"grad_norm": 3.6878315103563324,
|
||||
"learning_rate": 5e-06,
|
||||
"loss": 0.9007519483566284,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 10,
|
||||
"token_acc": 0.8636064441638881,
|
||||
"train_speed(iter/s)": 0.002176
|
||||
},
|
||||
{
|
||||
"epoch": 10.771084337349398,
|
||||
"grad_norm": 3.153907065444448,
|
||||
"learning_rate": 4.999658262481173e-06,
|
||||
"loss": 0.8321974277496338,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 11,
|
||||
"token_acc": 0.8710321094284695,
|
||||
"train_speed(iter/s)": 0.002152
|
||||
},
|
||||
{
|
||||
"epoch": 11.771084337349398,
|
||||
"grad_norm": 2.203676742176422,
|
||||
"learning_rate": 4.998633143352315e-06,
|
||||
"loss": 0.7872496247291565,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 12,
|
||||
"token_acc": 0.8761502671032225,
|
||||
"train_speed(iter/s)": 0.002149
|
||||
},
|
||||
{
|
||||
"epoch": 12.771084337349398,
|
||||
"grad_norm": 2.4327146254784084,
|
||||
"learning_rate": 4.9969249228707625e-06,
|
||||
"loss": 0.7419657707214355,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 13,
|
||||
"token_acc": 0.8786807478287534,
|
||||
"train_speed(iter/s)": 0.002148
|
||||
},
|
||||
{
|
||||
"epoch": 13.771084337349398,
|
||||
"grad_norm": 1.8937402046126173,
|
||||
"learning_rate": 4.994534068046936e-06,
|
||||
"loss": 0.709729790687561,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 14,
|
||||
"token_acc": 0.8879921788137868,
|
||||
"train_speed(iter/s)": 0.002151
|
||||
},
|
||||
{
|
||||
"epoch": 14.771084337349398,
|
||||
"grad_norm": 1.4897225411877277,
|
||||
"learning_rate": 4.991461232516675e-06,
|
||||
"loss": 0.676007866859436,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 15,
|
||||
"token_acc": 0.8962045012503473,
|
||||
"train_speed(iter/s)": 0.00215
|
||||
},
|
||||
{
|
||||
"epoch": 15.771084337349398,
|
||||
"grad_norm": 1.297539359495755,
|
||||
"learning_rate": 4.987707256362529e-06,
|
||||
"loss": 0.6474949717521667,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 16,
|
||||
"token_acc": 0.8947659474239368,
|
||||
"train_speed(iter/s)": 0.002148
|
||||
},
|
||||
{
|
||||
"epoch": 16.771084337349397,
|
||||
"grad_norm": 0.7199351026372981,
|
||||
"learning_rate": 4.983273165884096e-06,
|
||||
"loss": 0.6222354173660278,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 17,
|
||||
"token_acc": 0.9017643862580863,
|
||||
"train_speed(iter/s)": 0.00215
|
||||
},
|
||||
{
|
||||
"epoch": 17.771084337349397,
|
||||
"grad_norm": 1.4007282443863567,
|
||||
"learning_rate": 4.978160173317439e-06,
|
||||
"loss": 0.6050044298171997,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 18,
|
||||
"token_acc": 0.899228721854176,
|
||||
"train_speed(iter/s)": 0.00215
|
||||
},
|
||||
{
|
||||
"epoch": 18.771084337349397,
|
||||
"grad_norm": 1.4351431315774181,
|
||||
"learning_rate": 4.972369676503672e-06,
|
||||
"loss": 0.5903453230857849,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 19,
|
||||
"token_acc": 0.9062169786627631,
|
||||
"train_speed(iter/s)": 0.002149
|
||||
},
|
||||
{
|
||||
"epoch": 19.771084337349397,
|
||||
"grad_norm": 1.1929137455373535,
|
||||
"learning_rate": 4.965903258506806e-06,
|
||||
"loss": 0.5688210725784302,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 20,
|
||||
"token_acc": 0.9079767112253118,
|
||||
"train_speed(iter/s)": 0.002148
|
||||
},
|
||||
{
|
||||
"epoch": 20.771084337349397,
|
||||
"grad_norm": 1.1732494606890316,
|
||||
"learning_rate": 4.9587626871809564e-06,
|
||||
"loss": 0.543393611907959,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 21,
|
||||
"token_acc": 0.9126149389091825,
|
||||
"train_speed(iter/s)": 0.002136
|
||||
},
|
||||
{
|
||||
"epoch": 21.771084337349397,
|
||||
"grad_norm": 1.0573555070054292,
|
||||
"learning_rate": 4.950949914687024e-06,
|
||||
"loss": 0.5107942223548889,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 22,
|
||||
"token_acc": 0.913213028660819,
|
||||
"train_speed(iter/s)": 0.002136
|
||||
},
|
||||
{
|
||||
"epoch": 22.771084337349397,
|
||||
"grad_norm": 0.9119223186948517,
|
||||
"learning_rate": 4.942467076958999e-06,
|
||||
"loss": 0.48675835132598877,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 23,
|
||||
"token_acc": 0.916867432182973,
|
||||
"train_speed(iter/s)": 0.002137
|
||||
},
|
||||
{
|
||||
"epoch": 23.771084337349397,
|
||||
"grad_norm": 1.0782070696527255,
|
||||
"learning_rate": 4.933316493120015e-06,
|
||||
"loss": 0.5053229331970215,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 24,
|
||||
"token_acc": 0.9218187118672303,
|
||||
"train_speed(iter/s)": 0.002139
|
||||
},
|
||||
{
|
||||
"epoch": 24.771084337349397,
|
||||
"grad_norm": 0.9655818937470999,
|
||||
"learning_rate": 4.923500664848327e-06,
|
||||
"loss": 0.5017877817153931,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 25,
|
||||
"token_acc": 0.9221839217084671,
|
||||
"train_speed(iter/s)": 0.002138
|
||||
},
|
||||
{
|
||||
"epoch": 25.771084337349397,
|
||||
"grad_norm": 0.9404583758277602,
|
||||
"learning_rate": 4.913022275693372e-06,
|
||||
"loss": 0.4680900275707245,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 26,
|
||||
"token_acc": 0.9232181127591402,
|
||||
"train_speed(iter/s)": 0.002139
|
||||
},
|
||||
{
|
||||
"epoch": 26.771084337349397,
|
||||
"grad_norm": 0.9566563796831183,
|
||||
"learning_rate": 4.901884190342121e-06,
|
||||
"loss": 0.4565889239311218,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 27,
|
||||
"token_acc": 0.9250697693507346,
|
||||
"train_speed(iter/s)": 0.002138
|
||||
},
|
||||
{
|
||||
"epoch": 27.771084337349397,
|
||||
"grad_norm": 0.7703532186007063,
|
||||
"learning_rate": 4.890089453835894e-06,
|
||||
"loss": 0.43708479404449463,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 28,
|
||||
"token_acc": 0.9259928949775574,
|
||||
"train_speed(iter/s)": 0.002139
|
||||
},
|
||||
{
|
||||
"epoch": 28.771084337349397,
|
||||
"grad_norm": 0.9233409831228016,
|
||||
"learning_rate": 4.8776412907378845e-06,
|
||||
"loss": 0.4270290732383728,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 29,
|
||||
"token_acc": 0.9246415671992716,
|
||||
"train_speed(iter/s)": 0.00214
|
||||
},
|
||||
{
|
||||
"epoch": 29.771084337349397,
|
||||
"grad_norm": 0.9965352268428146,
|
||||
"learning_rate": 4.864543104251587e-06,
|
||||
"loss": 0.41402751207351685,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 30,
|
||||
"token_acc": 0.9240786009778112,
|
||||
"train_speed(iter/s)": 0.002139
|
||||
},
|
||||
{
|
||||
"epoch": 30.771084337349397,
|
||||
"grad_norm": 0.9358295902337755,
|
||||
"learning_rate": 4.850798475290403e-06,
|
||||
"loss": 0.39457955956459045,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 31,
|
||||
"token_acc": 0.9368182401505754,
|
||||
"train_speed(iter/s)": 0.002131
|
||||
},
|
||||
{
|
||||
"epoch": 31.771084337349397,
|
||||
"grad_norm": 0.9813539670443086,
|
||||
"learning_rate": 4.836411161498653e-06,
|
||||
"loss": 0.38136690855026245,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 32,
|
||||
"token_acc": 0.9375963637091769,
|
||||
"train_speed(iter/s)": 0.002133
|
||||
},
|
||||
{
|
||||
"epoch": 32.7710843373494,
|
||||
"grad_norm": 0.4679577449591144,
|
||||
"learning_rate": 4.821385096224268e-06,
|
||||
"loss": 0.36845850944519043,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 33,
|
||||
"token_acc": 0.9348571791559913,
|
||||
"train_speed(iter/s)": 0.002134
|
||||
},
|
||||
{
|
||||
"epoch": 33.7710843373494,
|
||||
"grad_norm": 0.9212511288160155,
|
||||
"learning_rate": 4.8057243874434625e-06,
|
||||
"loss": 0.35925933718681335,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 34,
|
||||
"token_acc": 0.9376081366560561,
|
||||
"train_speed(iter/s)": 0.002133
|
||||
},
|
||||
{
|
||||
"epoch": 34.7710843373494,
|
||||
"grad_norm": 1.0561026403132139,
|
||||
"learning_rate": 4.789433316637644e-06,
|
||||
"loss": 0.3401709794998169,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 35,
|
||||
"token_acc": 0.9403078788403664,
|
||||
"train_speed(iter/s)": 0.002134
|
||||
},
|
||||
{
|
||||
"epoch": 35.7710843373494,
|
||||
"grad_norm": 0.936417548403036,
|
||||
"learning_rate": 4.772516337622907e-06,
|
||||
"loss": 0.3241081237792969,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 36,
|
||||
"token_acc": 0.9484973388290848,
|
||||
"train_speed(iter/s)": 0.002135
|
||||
},
|
||||
{
|
||||
"epoch": 36.7710843373494,
|
||||
"grad_norm": 1.116983283196546,
|
||||
"learning_rate": 4.754978075332398e-06,
|
||||
"loss": 0.30902814865112305,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 37,
|
||||
"token_acc": 0.9476456995060315,
|
||||
"train_speed(iter/s)": 0.002135
|
||||
},
|
||||
{
|
||||
"epoch": 37.7710843373494,
|
||||
"grad_norm": 0.9993160029154087,
|
||||
"learning_rate": 4.736823324551909e-06,
|
||||
"loss": 0.308858722448349,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 38,
|
||||
"token_acc": 0.9504927069901695,
|
||||
"train_speed(iter/s)": 0.002135
|
||||
},
|
||||
{
|
||||
"epoch": 38.7710843373494,
|
||||
"grad_norm": 0.9122824683879396,
|
||||
"learning_rate": 4.71805704860903e-06,
|
||||
"loss": 0.27843528985977173,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 39,
|
||||
"token_acc": 0.9496681563352376,
|
||||
"train_speed(iter/s)": 0.002136
|
||||
},
|
||||
{
|
||||
"epoch": 39.7710843373494,
|
||||
"grad_norm": 1.009388916794573,
|
||||
"learning_rate": 4.698684378016223e-06,
|
||||
"loss": 0.25660544633865356,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 40,
|
||||
"token_acc": 0.9552901130798869,
|
||||
"train_speed(iter/s)": 0.002137
|
||||
},
|
||||
{
|
||||
"epoch": 40.7710843373494,
|
||||
"grad_norm": 1.1895642620511482,
|
||||
"learning_rate": 4.678710609068193e-06,
|
||||
"loss": 0.2424250692129135,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 41,
|
||||
"token_acc": 0.9549429605785101,
|
||||
"train_speed(iter/s)": 0.002131
|
||||
},
|
||||
{
|
||||
"epoch": 41.7710843373494,
|
||||
"grad_norm": 1.1193041843299223,
|
||||
"learning_rate": 4.658141202393935e-06,
|
||||
"loss": 0.23843874037265778,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 42,
|
||||
"token_acc": 0.9608553608553608,
|
||||
"train_speed(iter/s)": 0.002131
|
||||
},
|
||||
{
|
||||
"epoch": 42.7710843373494,
|
||||
"grad_norm": 1.110610217839956,
|
||||
"learning_rate": 4.636981781463848e-06,
|
||||
"loss": 0.210187166929245,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 43,
|
||||
"token_acc": 0.9653150186596419,
|
||||
"train_speed(iter/s)": 0.002132
|
||||
},
|
||||
{
|
||||
"epoch": 43.7710843373494,
|
||||
"grad_norm": 0.8486274696165886,
|
||||
"learning_rate": 4.615238131052339e-06,
|
||||
"loss": 0.21901345252990723,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 44,
|
||||
"token_acc": 0.9653416261042005,
|
||||
"train_speed(iter/s)": 0.002132
|
||||
},
|
||||
{
|
||||
"epoch": 44.7710843373494,
|
||||
"grad_norm": 1.0423804412798912,
|
||||
"learning_rate": 4.592916195656322e-06,
|
||||
"loss": 0.17482870817184448,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 45,
|
||||
"token_acc": 0.9674520144027672,
|
||||
"train_speed(iter/s)": 0.002133
|
||||
},
|
||||
{
|
||||
"epoch": 45.7710843373494,
|
||||
"grad_norm": 1.2841486053816782,
|
||||
"learning_rate": 4.570022077870051e-06,
|
||||
"loss": 0.18200109899044037,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 46,
|
||||
"token_acc": 0.9708482572798199,
|
||||
"train_speed(iter/s)": 0.002133
|
||||
},
|
||||
{
|
||||
"epoch": 46.7710843373494,
|
||||
"grad_norm": 1.172978940255451,
|
||||
"learning_rate": 4.546562036716732e-06,
|
||||
"loss": 0.15860611200332642,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 47,
|
||||
"token_acc": 0.9780445141443995,
|
||||
"train_speed(iter/s)": 0.002133
|
||||
},
|
||||
{
|
||||
"epoch": 47.7710843373494,
|
||||
"grad_norm": 1.2360197347924713,
|
||||
"learning_rate": 4.522542485937369e-06,
|
||||
"loss": 0.14376184344291687,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 48,
|
||||
"token_acc": 0.9766241102700259,
|
||||
"train_speed(iter/s)": 0.002135
|
||||
},
|
||||
{
|
||||
"epoch": 48.7710843373494,
|
||||
"grad_norm": 0.6385686989268172,
|
||||
"learning_rate": 4.497969992237312e-06,
|
||||
"loss": 0.13206440210342407,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 49,
|
||||
"token_acc": 0.9818039023693685,
|
||||
"train_speed(iter/s)": 0.002135
|
||||
},
|
||||
{
|
||||
"epoch": 49.7710843373494,
|
||||
"grad_norm": 1.2901120485113573,
|
||||
"learning_rate": 4.472851273490985e-06,
|
||||
"loss": 0.11426319181919098,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 50,
|
||||
"token_acc": 0.9836425932423786,
|
||||
"train_speed(iter/s)": 0.002135
|
||||
},
|
||||
{
|
||||
"epoch": 50.7710843373494,
|
||||
"grad_norm": 1.2068228907293697,
|
||||
"learning_rate": 4.4471931969052816e-06,
|
||||
"loss": 0.09582371264696121,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 51,
|
||||
"token_acc": 0.9849937986991469,
|
||||
"train_speed(iter/s)": 0.00213
|
||||
},
|
||||
{
|
||||
"epoch": 51.7710843373494,
|
||||
"grad_norm": 1.1813520357475888,
|
||||
"learning_rate": 4.421002777142148e-06,
|
||||
"loss": 0.09163334965705872,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 52,
|
||||
"token_acc": 0.985701349843115,
|
||||
"train_speed(iter/s)": 0.00213
|
||||
},
|
||||
{
|
||||
"epoch": 52.7710843373494,
|
||||
"grad_norm": 1.1122597460598151,
|
||||
"learning_rate": 4.394287174400838e-06,
|
||||
"loss": 0.08439977467060089,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 53,
|
||||
"token_acc": 0.9878925052136355,
|
||||
"train_speed(iter/s)": 0.00213
|
||||
},
|
||||
{
|
||||
"epoch": 53.7710843373494,
|
||||
"grad_norm": 1.1253515530343927,
|
||||
"learning_rate": 4.3670536924603855e-06,
|
||||
"loss": 0.07314425706863403,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 54,
|
||||
"token_acc": 0.9900777579782926,
|
||||
"train_speed(iter/s)": 0.00213
|
||||
},
|
||||
{
|
||||
"epoch": 54.7710843373494,
|
||||
"grad_norm": 1.1033670330706447,
|
||||
"learning_rate": 4.33930977668283e-06,
|
||||
"loss": 0.06532438099384308,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 55,
|
||||
"token_acc": 0.9898691656771185,
|
||||
"train_speed(iter/s)": 0.00213
|
||||
},
|
||||
{
|
||||
"epoch": 55.7710843373494,
|
||||
"grad_norm": 1.1439476751450148,
|
||||
"learning_rate": 4.311063011977723e-06,
|
||||
"loss": 0.06318923085927963,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 56,
|
||||
"token_acc": 0.9903093019267052,
|
||||
"train_speed(iter/s)": 0.002131
|
||||
},
|
||||
{
|
||||
"epoch": 56.7710843373494,
|
||||
"grad_norm": 1.1421545710607997,
|
||||
"learning_rate": 4.282321120728493e-06,
|
||||
"loss": 0.05167176201939583,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 57,
|
||||
"token_acc": 0.991860976682798,
|
||||
"train_speed(iter/s)": 0.002131
|
||||
},
|
||||
{
|
||||
"epoch": 57.7710843373494,
|
||||
"grad_norm": 1.1132394753881205,
|
||||
"learning_rate": 4.253091960681222e-06,
|
||||
"loss": 0.05162680149078369,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 58,
|
||||
"token_acc": 0.992666204277479,
|
||||
"train_speed(iter/s)": 0.002132
|
||||
},
|
||||
{
|
||||
"epoch": 58.7710843373494,
|
||||
"grad_norm": 1.1383077361483038,
|
||||
"learning_rate": 4.2233835227964145e-06,
|
||||
"loss": 0.044882968068122864,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 59,
|
||||
"token_acc": 0.9941307654265692,
|
||||
"train_speed(iter/s)": 0.002132
|
||||
},
|
||||
{
|
||||
"epoch": 59.7710843373494,
|
||||
"grad_norm": 0.9459729284657843,
|
||||
"learning_rate": 4.1932039290643534e-06,
|
||||
"loss": 0.042324937880039215,
|
||||
"memory(GiB)": 77.59,
|
||||
"step": 60,
|
||||
"token_acc": 0.9941203679909544,
|
||||
"train_speed(iter/s)": 0.002132
|
||||
}
|
||||
],
|
||||
"logging_steps": 1,
|
||||
"max_steps": 200,
|
||||
"num_input_tokens_seen": 0,
|
||||
"num_train_epochs": 200,
|
||||
"save_steps": 10,
|
||||
"stateful_callbacks": {
|
||||
"TrainerControl": {
|
||||
"args": {
|
||||
"should_epoch_stop": false,
|
||||
"should_evaluate": false,
|
||||
"should_log": false,
|
||||
"should_save": true,
|
||||
"should_training_stop": false
|
||||
},
|
||||
"attributes": {}
|
||||
}
|
||||
},
|
||||
"total_flos": 268227602284544.0,
|
||||
"train_batch_size": 1,
|
||||
"trial_name": null,
|
||||
"trial_params": null
|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:cbf7ae9cf5b581ae3023deb857a83edd937efe7f8fcced10c2df2ac05ce83e86
|
||||
size 8312
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user