初始化项目，由ModelHub XC社区提供模型
Model: spar-project/Qwen2.5-7B-Instruct-layers-16-24 Source: Original Platform
This commit is contained in:
ModelHub XC
210
checkpoint-120/README.md
Normal file
210
checkpoint-120/README.md
Normal file
@@ -0,0 +1,210 @@
|
||||
---
|
||||
base_model: unsloth/Qwen2.5-7B-Instruct
|
||||
library_name: peft
|
||||
pipeline_tag: text-generation
|
||||
tags:
|
||||
- base_model:adapter:unsloth/Qwen2.5-7B-Instruct
|
||||
- lora
|
||||
- sft
|
||||
- transformers
|
||||
- trl
|
||||
- unsloth
|
||||
---
|
||||
|
||||
# Model Card for Model ID
|
||||
|
||||
<!-- Provide a quick summary of what the model is/does. -->
|
||||
|
||||
|
||||
|
||||
## Model Details
|
||||
|
||||
### Model Description
|
||||
|
||||
<!-- Provide a longer summary of what this model is. -->
|
||||
|
||||
|
||||
|
||||
- **Developed by:** [More Information Needed]
|
||||
- **Funded by [optional]:** [More Information Needed]
|
||||
- **Shared by [optional]:** [More Information Needed]
|
||||
- **Model type:** [More Information Needed]
|
||||
- **Language(s) (NLP):** [More Information Needed]
|
||||
- **License:** [More Information Needed]
|
||||
- **Finetuned from model [optional]:** [More Information Needed]
|
||||
|
||||
### Model Sources [optional]
|
||||
|
||||
<!-- Provide the basic links for the model. -->
|
||||
|
||||
- **Repository:** [More Information Needed]
|
||||
- **Paper [optional]:** [More Information Needed]
|
||||
- **Demo [optional]:** [More Information Needed]
|
||||
|
||||
## Uses
|
||||
|
||||
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
||||
|
||||
### Direct Use
|
||||
|
||||
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Downstream Use [optional]
|
||||
|
||||
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Out-of-Scope Use
|
||||
|
||||
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Bias, Risks, and Limitations
|
||||
|
||||
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Recommendations
|
||||
|
||||
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
||||
|
||||
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
||||
|
||||
## How to Get Started with the Model
|
||||
|
||||
Use the code below to get started with the model.
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Training Details
|
||||
|
||||
### Training Data
|
||||
|
||||
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Training Procedure
|
||||
|
||||
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
||||
|
||||
#### Preprocessing [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
|
||||
#### Training Hyperparameters
|
||||
|
||||
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
||||
|
||||
#### Speeds, Sizes, Times [optional]
|
||||
|
||||
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Evaluation
|
||||
|
||||
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||
|
||||
### Testing Data, Factors & Metrics
|
||||
|
||||
#### Testing Data
|
||||
|
||||
<!-- This should link to a Dataset Card if possible. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Factors
|
||||
|
||||
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Metrics
|
||||
|
||||
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Results
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Summary
|
||||
|
||||
|
||||
|
||||
## Model Examination [optional]
|
||||
|
||||
<!-- Relevant interpretability work for the model goes here -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Environmental Impact
|
||||
|
||||
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||
|
||||
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
||||
|
||||
- **Hardware Type:** [More Information Needed]
|
||||
- **Hours used:** [More Information Needed]
|
||||
- **Cloud Provider:** [More Information Needed]
|
||||
- **Compute Region:** [More Information Needed]
|
||||
- **Carbon Emitted:** [More Information Needed]
|
||||
|
||||
## Technical Specifications [optional]
|
||||
|
||||
### Model Architecture and Objective
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Compute Infrastructure
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Hardware
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Software
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Citation [optional]
|
||||
|
||||
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||
|
||||
**BibTeX:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
**APA:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Glossary [optional]
|
||||
|
||||
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## More Information [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Authors [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Contact
|
||||
|
||||
[More Information Needed]
|
||||
### Framework versions
|
||||
|
||||
- PEFT 0.17.1
|
||||
102
checkpoint-120/adapter_config.json
Normal file
102
checkpoint-120/adapter_config.json
Normal file
@@ -0,0 +1,102 @@
|
||||
{
|
||||
"alpha_pattern": {},
|
||||
"auto_mapping": {
|
||||
"base_model_class": "Qwen2ForCausalLM",
|
||||
"parent_library": "transformers.models.qwen2.modeling_qwen2",
|
||||
"unsloth_fixed": true
|
||||
},
|
||||
"base_model_name_or_path": "unsloth/Qwen2.5-7B-Instruct",
|
||||
"bias": "none",
|
||||
"corda_config": null,
|
||||
"eva_config": null,
|
||||
"exclude_modules": null,
|
||||
"fan_in_fan_out": false,
|
||||
"inference_mode": true,
|
||||
"init_lora_weights": true,
|
||||
"layer_replication": null,
|
||||
"layers_pattern": null,
|
||||
"layers_to_transform": null,
|
||||
"loftq_config": {},
|
||||
"lora_alpha": 64,
|
||||
"lora_bias": false,
|
||||
"lora_dropout": 0.0,
|
||||
"megatron_config": null,
|
||||
"megatron_core": "megatron.core",
|
||||
"modules_to_save": null,
|
||||
"peft_type": "LORA",
|
||||
"qalora_group_size": 16,
|
||||
"r": 32,
|
||||
"rank_pattern": {},
|
||||
"revision": null,
|
||||
"target_modules": [
|
||||
"layers.16.o_proj",
|
||||
"layers.17.mlp.down_proj",
|
||||
"layers.20.mlp.up_proj",
|
||||
"layers.18.mlp.gate_proj",
|
||||
"layers.24.k_proj",
|
||||
"layers.20.mlp.down_proj",
|
||||
"layers.21.q_proj",
|
||||
"layers.16.v_proj",
|
||||
"layers.22.mlp.down_proj",
|
||||
"layers.18.q_proj",
|
||||
"layers.18.v_proj",
|
||||
"layers.22.q_proj",
|
||||
"layers.20.k_proj",
|
||||
"layers.17.o_proj",
|
||||
"layers.21.mlp.up_proj",
|
||||
"layers.19.q_proj",
|
||||
"layers.20.mlp.gate_proj",
|
||||
"layers.16.q_proj",
|
||||
"layers.18.mlp.down_proj",
|
||||
"layers.20.q_proj",
|
||||
"layers.22.mlp.up_proj",
|
||||
"layers.19.o_proj",
|
||||
"layers.21.v_proj",
|
||||
"layers.23.mlp.up_proj",
|
||||
"layers.16.mlp.down_proj",
|
||||
"layers.17.q_proj",
|
||||
"layers.17.v_proj",
|
||||
"layers.23.q_proj",
|
||||
"layers.17.mlp.up_proj",
|
||||
"layers.19.mlp.down_proj",
|
||||
"layers.24.v_proj",
|
||||
"layers.22.mlp.gate_proj",
|
||||
"layers.18.mlp.up_proj",
|
||||
"layers.24.mlp.gate_proj",
|
||||
"layers.24.q_proj",
|
||||
"layers.22.k_proj",
|
||||
"layers.16.mlp.gate_proj",
|
||||
"layers.19.mlp.gate_proj",
|
||||
"layers.23.mlp.gate_proj",
|
||||
"layers.20.v_proj",
|
||||
"layers.17.mlp.gate_proj",
|
||||
"layers.24.mlp.down_proj",
|
||||
"layers.18.k_proj",
|
||||
"layers.16.k_proj",
|
||||
"layers.17.k_proj",
|
||||
"layers.19.v_proj",
|
||||
"layers.21.k_proj",
|
||||
"layers.19.k_proj",
|
||||
"layers.22.v_proj",
|
||||
"layers.18.o_proj",
|
||||
"layers.21.o_proj",
|
||||
"layers.24.mlp.up_proj",
|
||||
"layers.23.mlp.down_proj",
|
||||
"layers.23.v_proj",
|
||||
"layers.21.mlp.down_proj",
|
||||
"layers.22.o_proj",
|
||||
"layers.20.o_proj",
|
||||
"layers.23.o_proj",
|
||||
"layers.24.o_proj",
|
||||
"layers.23.k_proj",
|
||||
"layers.21.mlp.gate_proj",
|
||||
"layers.16.mlp.up_proj",
|
||||
"layers.19.mlp.up_proj"
|
||||
],
|
||||
"target_parameters": null,
|
||||
"task_type": "CAUSAL_LM",
|
||||
"trainable_token_indices": null,
|
||||
"use_dora": false,
|
||||
"use_qalora": false,
|
||||
"use_rslora": true
|
||||
}
|
||||
3
checkpoint-120/adapter_model.safetensors
Normal file
3
checkpoint-120/adapter_model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ad0decf13fe97a1c2b27c729072689ea36800ffba58b07cfc648c00af457430a
|
||||
size 38935568
|
||||
24
checkpoint-120/added_tokens.json
Normal file
24
checkpoint-120/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
|
||||
}
|
||||
54
checkpoint-120/chat_template.jinja
Normal file
54
checkpoint-120/chat_template.jinja
Normal file
@@ -0,0 +1,54 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
||||
{%- endif %}
|
||||
{{- "\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>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\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" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
151388
checkpoint-120/merges.txt
Normal file
151388
checkpoint-120/merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
checkpoint-120/optimizer.pt
Normal file
3
checkpoint-120/optimizer.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d4ee784e485f02263df4da4511231580d78ab6d0dcc46aa70e79d912fa61357c
|
||||
size 39603083
|
||||
3
checkpoint-120/rng_state.pth
Normal file
3
checkpoint-120/rng_state.pth
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7c800b778fa7e115e4c34de8529902de8b61c9a1b4bab3eb8295d06dafff030e
|
||||
size 14645
|
||||
3
checkpoint-120/scheduler.pt
Normal file
3
checkpoint-120/scheduler.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:267f6845e37c73539ec7e122a2e7e50ba1ce48de1ede3b7759589bd5d4fc50ec
|
||||
size 1465
|
||||
31
checkpoint-120/special_tokens_map.json
Normal file
31
checkpoint-120/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": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
checkpoint-120/tokenizer.json
Normal file
3
checkpoint-120/tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
208
checkpoint-120/tokenizer_config.json
Normal file
208
checkpoint-120/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,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|vision_pad|>",
|
||||
"padding_side": "right",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
874
checkpoint-120/trainer_state.json
Normal file
874
checkpoint-120/trainer_state.json
Normal file
@@ -0,0 +1,874 @@
|
||||
{
|
||||
"best_global_step": null,
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 0.4,
|
||||
"eval_steps": 20,
|
||||
"global_step": 120,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 0.0033333333333333335,
|
||||
"grad_norm": 8.0,
|
||||
"learning_rate": 0.0,
|
||||
"loss": 3.704,
|
||||
"step": 1
|
||||
},
|
||||
{
|
||||
"epoch": 0.006666666666666667,
|
||||
"grad_norm": 7.5625,
|
||||
"learning_rate": 2.0000000000000003e-06,
|
||||
"loss": 3.753,
|
||||
"step": 2
|
||||
},
|
||||
{
|
||||
"epoch": 0.01,
|
||||
"grad_norm": 7.96875,
|
||||
"learning_rate": 4.000000000000001e-06,
|
||||
"loss": 3.7435,
|
||||
"step": 3
|
||||
},
|
||||
{
|
||||
"epoch": 0.013333333333333334,
|
||||
"grad_norm": 7.875,
|
||||
"learning_rate": 6e-06,
|
||||
"loss": 3.7596,
|
||||
"step": 4
|
||||
},
|
||||
{
|
||||
"epoch": 0.016666666666666666,
|
||||
"grad_norm": 8.25,
|
||||
"learning_rate": 8.000000000000001e-06,
|
||||
"loss": 3.6881,
|
||||
"step": 5
|
||||
},
|
||||
{
|
||||
"epoch": 0.02,
|
||||
"grad_norm": 7.96875,
|
||||
"learning_rate": 1e-05,
|
||||
"loss": 3.7124,
|
||||
"step": 6
|
||||
},
|
||||
{
|
||||
"epoch": 0.023333333333333334,
|
||||
"grad_norm": 8.1875,
|
||||
"learning_rate": 9.983193277310925e-06,
|
||||
"loss": 3.6898,
|
||||
"step": 7
|
||||
},
|
||||
{
|
||||
"epoch": 0.02666666666666667,
|
||||
"grad_norm": 7.3125,
|
||||
"learning_rate": 9.96638655462185e-06,
|
||||
"loss": 3.6003,
|
||||
"step": 8
|
||||
},
|
||||
{
|
||||
"epoch": 0.03,
|
||||
"grad_norm": 6.59375,
|
||||
"learning_rate": 9.949579831932774e-06,
|
||||
"loss": 3.3132,
|
||||
"step": 9
|
||||
},
|
||||
{
|
||||
"epoch": 0.03333333333333333,
|
||||
"grad_norm": 6.875,
|
||||
"learning_rate": 9.932773109243698e-06,
|
||||
"loss": 3.384,
|
||||
"step": 10
|
||||
},
|
||||
{
|
||||
"epoch": 0.03666666666666667,
|
||||
"grad_norm": 7.0625,
|
||||
"learning_rate": 9.915966386554622e-06,
|
||||
"loss": 3.2793,
|
||||
"step": 11
|
||||
},
|
||||
{
|
||||
"epoch": 0.04,
|
||||
"grad_norm": 6.34375,
|
||||
"learning_rate": 9.899159663865548e-06,
|
||||
"loss": 3.3562,
|
||||
"step": 12
|
||||
},
|
||||
{
|
||||
"epoch": 0.043333333333333335,
|
||||
"grad_norm": 5.9375,
|
||||
"learning_rate": 9.882352941176472e-06,
|
||||
"loss": 3.2332,
|
||||
"step": 13
|
||||
},
|
||||
{
|
||||
"epoch": 0.04666666666666667,
|
||||
"grad_norm": 5.9375,
|
||||
"learning_rate": 9.865546218487397e-06,
|
||||
"loss": 3.1515,
|
||||
"step": 14
|
||||
},
|
||||
{
|
||||
"epoch": 0.05,
|
||||
"grad_norm": 5.46875,
|
||||
"learning_rate": 9.848739495798321e-06,
|
||||
"loss": 3.2211,
|
||||
"step": 15
|
||||
},
|
||||
{
|
||||
"epoch": 0.05333333333333334,
|
||||
"grad_norm": 5.75,
|
||||
"learning_rate": 9.831932773109244e-06,
|
||||
"loss": 3.0058,
|
||||
"step": 16
|
||||
},
|
||||
{
|
||||
"epoch": 0.056666666666666664,
|
||||
"grad_norm": 4.96875,
|
||||
"learning_rate": 9.815126050420168e-06,
|
||||
"loss": 2.8119,
|
||||
"step": 17
|
||||
},
|
||||
{
|
||||
"epoch": 0.06,
|
||||
"grad_norm": 5.0,
|
||||
"learning_rate": 9.798319327731092e-06,
|
||||
"loss": 2.9361,
|
||||
"step": 18
|
||||
},
|
||||
{
|
||||
"epoch": 0.06333333333333334,
|
||||
"grad_norm": 4.5625,
|
||||
"learning_rate": 9.781512605042018e-06,
|
||||
"loss": 2.9393,
|
||||
"step": 19
|
||||
},
|
||||
{
|
||||
"epoch": 0.06666666666666667,
|
||||
"grad_norm": 4.78125,
|
||||
"learning_rate": 9.764705882352942e-06,
|
||||
"loss": 2.6777,
|
||||
"step": 20
|
||||
},
|
||||
{
|
||||
"epoch": 0.07,
|
||||
"grad_norm": 4.4375,
|
||||
"learning_rate": 9.747899159663867e-06,
|
||||
"loss": 2.7683,
|
||||
"step": 21
|
||||
},
|
||||
{
|
||||
"epoch": 0.07333333333333333,
|
||||
"grad_norm": 4.28125,
|
||||
"learning_rate": 9.731092436974791e-06,
|
||||
"loss": 2.6016,
|
||||
"step": 22
|
||||
},
|
||||
{
|
||||
"epoch": 0.07666666666666666,
|
||||
"grad_norm": 4.5625,
|
||||
"learning_rate": 9.714285714285715e-06,
|
||||
"loss": 2.8662,
|
||||
"step": 23
|
||||
},
|
||||
{
|
||||
"epoch": 0.08,
|
||||
"grad_norm": 4.0625,
|
||||
"learning_rate": 9.69747899159664e-06,
|
||||
"loss": 2.5337,
|
||||
"step": 24
|
||||
},
|
||||
{
|
||||
"epoch": 0.08333333333333333,
|
||||
"grad_norm": 3.765625,
|
||||
"learning_rate": 9.680672268907564e-06,
|
||||
"loss": 2.6618,
|
||||
"step": 25
|
||||
},
|
||||
{
|
||||
"epoch": 0.08666666666666667,
|
||||
"grad_norm": 3.71875,
|
||||
"learning_rate": 9.663865546218488e-06,
|
||||
"loss": 2.5384,
|
||||
"step": 26
|
||||
},
|
||||
{
|
||||
"epoch": 0.09,
|
||||
"grad_norm": 3.625,
|
||||
"learning_rate": 9.647058823529412e-06,
|
||||
"loss": 2.3644,
|
||||
"step": 27
|
||||
},
|
||||
{
|
||||
"epoch": 0.09333333333333334,
|
||||
"grad_norm": 3.375,
|
||||
"learning_rate": 9.630252100840337e-06,
|
||||
"loss": 2.5523,
|
||||
"step": 28
|
||||
},
|
||||
{
|
||||
"epoch": 0.09666666666666666,
|
||||
"grad_norm": 3.5625,
|
||||
"learning_rate": 9.61344537815126e-06,
|
||||
"loss": 2.4416,
|
||||
"step": 29
|
||||
},
|
||||
{
|
||||
"epoch": 0.1,
|
||||
"grad_norm": 3.5625,
|
||||
"learning_rate": 9.596638655462187e-06,
|
||||
"loss": 2.3784,
|
||||
"step": 30
|
||||
},
|
||||
{
|
||||
"epoch": 0.10333333333333333,
|
||||
"grad_norm": 3.34375,
|
||||
"learning_rate": 9.579831932773111e-06,
|
||||
"loss": 2.2584,
|
||||
"step": 31
|
||||
},
|
||||
{
|
||||
"epoch": 0.10666666666666667,
|
||||
"grad_norm": 3.296875,
|
||||
"learning_rate": 9.563025210084035e-06,
|
||||
"loss": 2.3913,
|
||||
"step": 32
|
||||
},
|
||||
{
|
||||
"epoch": 0.11,
|
||||
"grad_norm": 3.109375,
|
||||
"learning_rate": 9.54621848739496e-06,
|
||||
"loss": 2.2638,
|
||||
"step": 33
|
||||
},
|
||||
{
|
||||
"epoch": 0.11333333333333333,
|
||||
"grad_norm": 3.03125,
|
||||
"learning_rate": 9.529411764705882e-06,
|
||||
"loss": 2.4333,
|
||||
"step": 34
|
||||
},
|
||||
{
|
||||
"epoch": 0.11666666666666667,
|
||||
"grad_norm": 2.921875,
|
||||
"learning_rate": 9.512605042016806e-06,
|
||||
"loss": 2.2413,
|
||||
"step": 35
|
||||
},
|
||||
{
|
||||
"epoch": 0.12,
|
||||
"grad_norm": 2.71875,
|
||||
"learning_rate": 9.49579831932773e-06,
|
||||
"loss": 2.1486,
|
||||
"step": 36
|
||||
},
|
||||
{
|
||||
"epoch": 0.12333333333333334,
|
||||
"grad_norm": 2.8125,
|
||||
"learning_rate": 9.478991596638657e-06,
|
||||
"loss": 2.2499,
|
||||
"step": 37
|
||||
},
|
||||
{
|
||||
"epoch": 0.12666666666666668,
|
||||
"grad_norm": 2.625,
|
||||
"learning_rate": 9.462184873949581e-06,
|
||||
"loss": 2.1166,
|
||||
"step": 38
|
||||
},
|
||||
{
|
||||
"epoch": 0.13,
|
||||
"grad_norm": 2.5,
|
||||
"learning_rate": 9.445378151260505e-06,
|
||||
"loss": 2.1453,
|
||||
"step": 39
|
||||
},
|
||||
{
|
||||
"epoch": 0.13333333333333333,
|
||||
"grad_norm": 2.625,
|
||||
"learning_rate": 9.42857142857143e-06,
|
||||
"loss": 2.2253,
|
||||
"step": 40
|
||||
},
|
||||
{
|
||||
"epoch": 0.13666666666666666,
|
||||
"grad_norm": 2.546875,
|
||||
"learning_rate": 9.411764705882354e-06,
|
||||
"loss": 2.125,
|
||||
"step": 41
|
||||
},
|
||||
{
|
||||
"epoch": 0.14,
|
||||
"grad_norm": 2.4375,
|
||||
"learning_rate": 9.394957983193278e-06,
|
||||
"loss": 2.1628,
|
||||
"step": 42
|
||||
},
|
||||
{
|
||||
"epoch": 0.14333333333333334,
|
||||
"grad_norm": 2.53125,
|
||||
"learning_rate": 9.378151260504202e-06,
|
||||
"loss": 2.103,
|
||||
"step": 43
|
||||
},
|
||||
{
|
||||
"epoch": 0.14666666666666667,
|
||||
"grad_norm": 2.6875,
|
||||
"learning_rate": 9.361344537815127e-06,
|
||||
"loss": 2.0865,
|
||||
"step": 44
|
||||
},
|
||||
{
|
||||
"epoch": 0.15,
|
||||
"grad_norm": 2.421875,
|
||||
"learning_rate": 9.344537815126051e-06,
|
||||
"loss": 2.0614,
|
||||
"step": 45
|
||||
},
|
||||
{
|
||||
"epoch": 0.15333333333333332,
|
||||
"grad_norm": 2.421875,
|
||||
"learning_rate": 9.327731092436975e-06,
|
||||
"loss": 2.1216,
|
||||
"step": 46
|
||||
},
|
||||
{
|
||||
"epoch": 0.15666666666666668,
|
||||
"grad_norm": 2.5,
|
||||
"learning_rate": 9.3109243697479e-06,
|
||||
"loss": 2.1927,
|
||||
"step": 47
|
||||
},
|
||||
{
|
||||
"epoch": 0.16,
|
||||
"grad_norm": 2.3125,
|
||||
"learning_rate": 9.294117647058824e-06,
|
||||
"loss": 2.0881,
|
||||
"step": 48
|
||||
},
|
||||
{
|
||||
"epoch": 0.16333333333333333,
|
||||
"grad_norm": 2.359375,
|
||||
"learning_rate": 9.27731092436975e-06,
|
||||
"loss": 2.0235,
|
||||
"step": 49
|
||||
},
|
||||
{
|
||||
"epoch": 0.16666666666666666,
|
||||
"grad_norm": 2.359375,
|
||||
"learning_rate": 9.260504201680674e-06,
|
||||
"loss": 2.018,
|
||||
"step": 50
|
||||
},
|
||||
{
|
||||
"epoch": 0.17,
|
||||
"grad_norm": 2.515625,
|
||||
"learning_rate": 9.243697478991598e-06,
|
||||
"loss": 1.9794,
|
||||
"step": 51
|
||||
},
|
||||
{
|
||||
"epoch": 0.17333333333333334,
|
||||
"grad_norm": 2.453125,
|
||||
"learning_rate": 9.226890756302523e-06,
|
||||
"loss": 1.959,
|
||||
"step": 52
|
||||
},
|
||||
{
|
||||
"epoch": 0.17666666666666667,
|
||||
"grad_norm": 2.390625,
|
||||
"learning_rate": 9.210084033613445e-06,
|
||||
"loss": 1.9886,
|
||||
"step": 53
|
||||
},
|
||||
{
|
||||
"epoch": 0.18,
|
||||
"grad_norm": 2.609375,
|
||||
"learning_rate": 9.19327731092437e-06,
|
||||
"loss": 2.0893,
|
||||
"step": 54
|
||||
},
|
||||
{
|
||||
"epoch": 0.18333333333333332,
|
||||
"grad_norm": 2.484375,
|
||||
"learning_rate": 9.176470588235294e-06,
|
||||
"loss": 2.0204,
|
||||
"step": 55
|
||||
},
|
||||
{
|
||||
"epoch": 0.18666666666666668,
|
||||
"grad_norm": 2.421875,
|
||||
"learning_rate": 9.15966386554622e-06,
|
||||
"loss": 1.9188,
|
||||
"step": 56
|
||||
},
|
||||
{
|
||||
"epoch": 0.19,
|
||||
"grad_norm": 2.28125,
|
||||
"learning_rate": 9.142857142857144e-06,
|
||||
"loss": 1.7871,
|
||||
"step": 57
|
||||
},
|
||||
{
|
||||
"epoch": 0.19333333333333333,
|
||||
"grad_norm": 2.34375,
|
||||
"learning_rate": 9.126050420168068e-06,
|
||||
"loss": 1.8462,
|
||||
"step": 58
|
||||
},
|
||||
{
|
||||
"epoch": 0.19666666666666666,
|
||||
"grad_norm": 2.359375,
|
||||
"learning_rate": 9.109243697478992e-06,
|
||||
"loss": 1.9064,
|
||||
"step": 59
|
||||
},
|
||||
{
|
||||
"epoch": 0.2,
|
||||
"grad_norm": 2.421875,
|
||||
"learning_rate": 9.092436974789917e-06,
|
||||
"loss": 1.8692,
|
||||
"step": 60
|
||||
},
|
||||
{
|
||||
"epoch": 0.20333333333333334,
|
||||
"grad_norm": 2.375,
|
||||
"learning_rate": 9.075630252100841e-06,
|
||||
"loss": 1.6947,
|
||||
"step": 61
|
||||
},
|
||||
{
|
||||
"epoch": 0.20666666666666667,
|
||||
"grad_norm": 2.21875,
|
||||
"learning_rate": 9.058823529411765e-06,
|
||||
"loss": 1.8799,
|
||||
"step": 62
|
||||
},
|
||||
{
|
||||
"epoch": 0.21,
|
||||
"grad_norm": 2.25,
|
||||
"learning_rate": 9.04201680672269e-06,
|
||||
"loss": 1.7606,
|
||||
"step": 63
|
||||
},
|
||||
{
|
||||
"epoch": 0.21333333333333335,
|
||||
"grad_norm": 2.484375,
|
||||
"learning_rate": 9.025210084033614e-06,
|
||||
"loss": 1.8803,
|
||||
"step": 64
|
||||
},
|
||||
{
|
||||
"epoch": 0.21666666666666667,
|
||||
"grad_norm": 2.375,
|
||||
"learning_rate": 9.008403361344538e-06,
|
||||
"loss": 1.9521,
|
||||
"step": 65
|
||||
},
|
||||
{
|
||||
"epoch": 0.22,
|
||||
"grad_norm": 2.515625,
|
||||
"learning_rate": 8.991596638655462e-06,
|
||||
"loss": 1.8818,
|
||||
"step": 66
|
||||
},
|
||||
{
|
||||
"epoch": 0.22333333333333333,
|
||||
"grad_norm": 2.359375,
|
||||
"learning_rate": 8.974789915966388e-06,
|
||||
"loss": 1.9417,
|
||||
"step": 67
|
||||
},
|
||||
{
|
||||
"epoch": 0.22666666666666666,
|
||||
"grad_norm": 2.40625,
|
||||
"learning_rate": 8.957983193277313e-06,
|
||||
"loss": 1.7338,
|
||||
"step": 68
|
||||
},
|
||||
{
|
||||
"epoch": 0.23,
|
||||
"grad_norm": 2.390625,
|
||||
"learning_rate": 8.941176470588237e-06,
|
||||
"loss": 1.9198,
|
||||
"step": 69
|
||||
},
|
||||
{
|
||||
"epoch": 0.23333333333333334,
|
||||
"grad_norm": 2.4375,
|
||||
"learning_rate": 8.924369747899161e-06,
|
||||
"loss": 1.8635,
|
||||
"step": 70
|
||||
},
|
||||
{
|
||||
"epoch": 0.23666666666666666,
|
||||
"grad_norm": 2.40625,
|
||||
"learning_rate": 8.907563025210085e-06,
|
||||
"loss": 1.8015,
|
||||
"step": 71
|
||||
},
|
||||
{
|
||||
"epoch": 0.24,
|
||||
"grad_norm": 2.375,
|
||||
"learning_rate": 8.890756302521008e-06,
|
||||
"loss": 1.7787,
|
||||
"step": 72
|
||||
},
|
||||
{
|
||||
"epoch": 0.24333333333333335,
|
||||
"grad_norm": 2.390625,
|
||||
"learning_rate": 8.873949579831932e-06,
|
||||
"loss": 1.7957,
|
||||
"step": 73
|
||||
},
|
||||
{
|
||||
"epoch": 0.24666666666666667,
|
||||
"grad_norm": 2.234375,
|
||||
"learning_rate": 8.857142857142858e-06,
|
||||
"loss": 1.6652,
|
||||
"step": 74
|
||||
},
|
||||
{
|
||||
"epoch": 0.25,
|
||||
"grad_norm": 2.359375,
|
||||
"learning_rate": 8.840336134453783e-06,
|
||||
"loss": 1.7805,
|
||||
"step": 75
|
||||
},
|
||||
{
|
||||
"epoch": 0.25333333333333335,
|
||||
"grad_norm": 2.421875,
|
||||
"learning_rate": 8.823529411764707e-06,
|
||||
"loss": 1.997,
|
||||
"step": 76
|
||||
},
|
||||
{
|
||||
"epoch": 0.25666666666666665,
|
||||
"grad_norm": 2.375,
|
||||
"learning_rate": 8.806722689075631e-06,
|
||||
"loss": 1.8154,
|
||||
"step": 77
|
||||
},
|
||||
{
|
||||
"epoch": 0.26,
|
||||
"grad_norm": 2.375,
|
||||
"learning_rate": 8.789915966386555e-06,
|
||||
"loss": 1.6106,
|
||||
"step": 78
|
||||
},
|
||||
{
|
||||
"epoch": 0.2633333333333333,
|
||||
"grad_norm": 2.3125,
|
||||
"learning_rate": 8.77310924369748e-06,
|
||||
"loss": 1.6765,
|
||||
"step": 79
|
||||
},
|
||||
{
|
||||
"epoch": 0.26666666666666666,
|
||||
"grad_norm": 2.46875,
|
||||
"learning_rate": 8.756302521008404e-06,
|
||||
"loss": 1.7782,
|
||||
"step": 80
|
||||
},
|
||||
{
|
||||
"epoch": 0.27,
|
||||
"grad_norm": 2.3125,
|
||||
"learning_rate": 8.739495798319328e-06,
|
||||
"loss": 1.7693,
|
||||
"step": 81
|
||||
},
|
||||
{
|
||||
"epoch": 0.2733333333333333,
|
||||
"grad_norm": 2.40625,
|
||||
"learning_rate": 8.722689075630252e-06,
|
||||
"loss": 1.7998,
|
||||
"step": 82
|
||||
},
|
||||
{
|
||||
"epoch": 0.27666666666666667,
|
||||
"grad_norm": 2.359375,
|
||||
"learning_rate": 8.705882352941177e-06,
|
||||
"loss": 1.8275,
|
||||
"step": 83
|
||||
},
|
||||
{
|
||||
"epoch": 0.28,
|
||||
"grad_norm": 2.375,
|
||||
"learning_rate": 8.689075630252101e-06,
|
||||
"loss": 1.7188,
|
||||
"step": 84
|
||||
},
|
||||
{
|
||||
"epoch": 0.2833333333333333,
|
||||
"grad_norm": 2.1875,
|
||||
"learning_rate": 8.672268907563027e-06,
|
||||
"loss": 1.6225,
|
||||
"step": 85
|
||||
},
|
||||
{
|
||||
"epoch": 0.2866666666666667,
|
||||
"grad_norm": 2.390625,
|
||||
"learning_rate": 8.655462184873951e-06,
|
||||
"loss": 1.8024,
|
||||
"step": 86
|
||||
},
|
||||
{
|
||||
"epoch": 0.29,
|
||||
"grad_norm": 2.453125,
|
||||
"learning_rate": 8.638655462184876e-06,
|
||||
"loss": 1.7723,
|
||||
"step": 87
|
||||
},
|
||||
{
|
||||
"epoch": 0.29333333333333333,
|
||||
"grad_norm": 2.203125,
|
||||
"learning_rate": 8.6218487394958e-06,
|
||||
"loss": 1.7415,
|
||||
"step": 88
|
||||
},
|
||||
{
|
||||
"epoch": 0.2966666666666667,
|
||||
"grad_norm": 2.40625,
|
||||
"learning_rate": 8.605042016806724e-06,
|
||||
"loss": 1.7757,
|
||||
"step": 89
|
||||
},
|
||||
{
|
||||
"epoch": 0.3,
|
||||
"grad_norm": 2.453125,
|
||||
"learning_rate": 8.588235294117647e-06,
|
||||
"loss": 1.8349,
|
||||
"step": 90
|
||||
},
|
||||
{
|
||||
"epoch": 0.30333333333333334,
|
||||
"grad_norm": 2.421875,
|
||||
"learning_rate": 8.571428571428571e-06,
|
||||
"loss": 1.7607,
|
||||
"step": 91
|
||||
},
|
||||
{
|
||||
"epoch": 0.30666666666666664,
|
||||
"grad_norm": 2.421875,
|
||||
"learning_rate": 8.554621848739497e-06,
|
||||
"loss": 1.7488,
|
||||
"step": 92
|
||||
},
|
||||
{
|
||||
"epoch": 0.31,
|
||||
"grad_norm": 2.375,
|
||||
"learning_rate": 8.537815126050421e-06,
|
||||
"loss": 1.6391,
|
||||
"step": 93
|
||||
},
|
||||
{
|
||||
"epoch": 0.31333333333333335,
|
||||
"grad_norm": 2.265625,
|
||||
"learning_rate": 8.521008403361345e-06,
|
||||
"loss": 1.7437,
|
||||
"step": 94
|
||||
},
|
||||
{
|
||||
"epoch": 0.31666666666666665,
|
||||
"grad_norm": 2.3125,
|
||||
"learning_rate": 8.50420168067227e-06,
|
||||
"loss": 1.6662,
|
||||
"step": 95
|
||||
},
|
||||
{
|
||||
"epoch": 0.32,
|
||||
"grad_norm": 2.390625,
|
||||
"learning_rate": 8.487394957983194e-06,
|
||||
"loss": 1.7289,
|
||||
"step": 96
|
||||
},
|
||||
{
|
||||
"epoch": 0.3233333333333333,
|
||||
"grad_norm": 2.40625,
|
||||
"learning_rate": 8.470588235294118e-06,
|
||||
"loss": 1.7506,
|
||||
"step": 97
|
||||
},
|
||||
{
|
||||
"epoch": 0.32666666666666666,
|
||||
"grad_norm": 2.203125,
|
||||
"learning_rate": 8.453781512605043e-06,
|
||||
"loss": 1.6122,
|
||||
"step": 98
|
||||
},
|
||||
{
|
||||
"epoch": 0.33,
|
||||
"grad_norm": 2.3125,
|
||||
"learning_rate": 8.436974789915967e-06,
|
||||
"loss": 1.7299,
|
||||
"step": 99
|
||||
},
|
||||
{
|
||||
"epoch": 0.3333333333333333,
|
||||
"grad_norm": 2.421875,
|
||||
"learning_rate": 8.420168067226891e-06,
|
||||
"loss": 1.7526,
|
||||
"step": 100
|
||||
},
|
||||
{
|
||||
"epoch": 0.33666666666666667,
|
||||
"grad_norm": 2.328125,
|
||||
"learning_rate": 8.403361344537815e-06,
|
||||
"loss": 1.5299,
|
||||
"step": 101
|
||||
},
|
||||
{
|
||||
"epoch": 0.34,
|
||||
"grad_norm": 2.375,
|
||||
"learning_rate": 8.38655462184874e-06,
|
||||
"loss": 1.561,
|
||||
"step": 102
|
||||
},
|
||||
{
|
||||
"epoch": 0.3433333333333333,
|
||||
"grad_norm": 2.4375,
|
||||
"learning_rate": 8.369747899159666e-06,
|
||||
"loss": 1.6929,
|
||||
"step": 103
|
||||
},
|
||||
{
|
||||
"epoch": 0.3466666666666667,
|
||||
"grad_norm": 2.296875,
|
||||
"learning_rate": 8.35294117647059e-06,
|
||||
"loss": 1.6198,
|
||||
"step": 104
|
||||
},
|
||||
{
|
||||
"epoch": 0.35,
|
||||
"grad_norm": 2.40625,
|
||||
"learning_rate": 8.336134453781514e-06,
|
||||
"loss": 1.7377,
|
||||
"step": 105
|
||||
},
|
||||
{
|
||||
"epoch": 0.35333333333333333,
|
||||
"grad_norm": 2.359375,
|
||||
"learning_rate": 8.319327731092438e-06,
|
||||
"loss": 1.6735,
|
||||
"step": 106
|
||||
},
|
||||
{
|
||||
"epoch": 0.3566666666666667,
|
||||
"grad_norm": 2.3125,
|
||||
"learning_rate": 8.302521008403363e-06,
|
||||
"loss": 1.6206,
|
||||
"step": 107
|
||||
},
|
||||
{
|
||||
"epoch": 0.36,
|
||||
"grad_norm": 2.546875,
|
||||
"learning_rate": 8.285714285714287e-06,
|
||||
"loss": 1.6151,
|
||||
"step": 108
|
||||
},
|
||||
{
|
||||
"epoch": 0.36333333333333334,
|
||||
"grad_norm": 2.484375,
|
||||
"learning_rate": 8.26890756302521e-06,
|
||||
"loss": 1.7313,
|
||||
"step": 109
|
||||
},
|
||||
{
|
||||
"epoch": 0.36666666666666664,
|
||||
"grad_norm": 2.546875,
|
||||
"learning_rate": 8.252100840336136e-06,
|
||||
"loss": 1.6639,
|
||||
"step": 110
|
||||
},
|
||||
{
|
||||
"epoch": 0.37,
|
||||
"grad_norm": 2.359375,
|
||||
"learning_rate": 8.23529411764706e-06,
|
||||
"loss": 1.6654,
|
||||
"step": 111
|
||||
},
|
||||
{
|
||||
"epoch": 0.37333333333333335,
|
||||
"grad_norm": 2.3125,
|
||||
"learning_rate": 8.218487394957984e-06,
|
||||
"loss": 1.5777,
|
||||
"step": 112
|
||||
},
|
||||
{
|
||||
"epoch": 0.37666666666666665,
|
||||
"grad_norm": 2.46875,
|
||||
"learning_rate": 8.201680672268908e-06,
|
||||
"loss": 1.7277,
|
||||
"step": 113
|
||||
},
|
||||
{
|
||||
"epoch": 0.38,
|
||||
"grad_norm": 2.421875,
|
||||
"learning_rate": 8.184873949579833e-06,
|
||||
"loss": 1.6013,
|
||||
"step": 114
|
||||
},
|
||||
{
|
||||
"epoch": 0.38333333333333336,
|
||||
"grad_norm": 2.28125,
|
||||
"learning_rate": 8.168067226890757e-06,
|
||||
"loss": 1.6955,
|
||||
"step": 115
|
||||
},
|
||||
{
|
||||
"epoch": 0.38666666666666666,
|
||||
"grad_norm": 2.265625,
|
||||
"learning_rate": 8.151260504201681e-06,
|
||||
"loss": 1.5428,
|
||||
"step": 116
|
||||
},
|
||||
{
|
||||
"epoch": 0.39,
|
||||
"grad_norm": 2.4375,
|
||||
"learning_rate": 8.134453781512605e-06,
|
||||
"loss": 1.7118,
|
||||
"step": 117
|
||||
},
|
||||
{
|
||||
"epoch": 0.3933333333333333,
|
||||
"grad_norm": 2.625,
|
||||
"learning_rate": 8.11764705882353e-06,
|
||||
"loss": 1.7108,
|
||||
"step": 118
|
||||
},
|
||||
{
|
||||
"epoch": 0.39666666666666667,
|
||||
"grad_norm": 2.609375,
|
||||
"learning_rate": 8.100840336134454e-06,
|
||||
"loss": 1.7941,
|
||||
"step": 119
|
||||
},
|
||||
{
|
||||
"epoch": 0.4,
|
||||
"grad_norm": 2.453125,
|
||||
"learning_rate": 8.084033613445378e-06,
|
||||
"loss": 1.6363,
|
||||
"step": 120
|
||||
}
|
||||
],
|
||||
"logging_steps": 1,
|
||||
"max_steps": 600,
|
||||
"num_input_tokens_seen": 0,
|
||||
"num_train_epochs": 2,
|
||||
"save_steps": 20,
|
||||
"stateful_callbacks": {
|
||||
"TrainerControl": {
|
||||
"args": {
|
||||
"should_epoch_stop": false,
|
||||
"should_evaluate": false,
|
||||
"should_log": false,
|
||||
"should_save": true,
|
||||
"should_training_stop": false
|
||||
},
|
||||
"attributes": {}
|
||||
}
|
||||
},
|
||||
"total_flos": 8206998334826496.0,
|
||||
"train_batch_size": 2,
|
||||
"trial_name": null,
|
||||
"trial_params": null
|
||||
}
|
||||
3
checkpoint-120/training_args.bin
Normal file
3
checkpoint-120/training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:31d31030a77f9934f1bd9bebb75b83ee2ac0fdede6c6c5085dbdfad295b966d5
|
||||
size 6161
|
||||
1
checkpoint-120/vocab.json
Normal file
1
checkpoint-120/vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user