初始化项目,由ModelHub XC社区提供模型

Model: Weyaxi/Newton-7B
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-08 05:22:54 +08:00
commit 37dd75a351
22 changed files with 1083 additions and 0 deletions

181
adapter/README.md Normal file
View File

@@ -0,0 +1,181 @@
---
license: apache-2.0
library_name: peft
tags:
- axolotl
- generated_from_trainer
base_model: openchat/openchat-3.5-0106
model-index:
- name: newton-lora
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<details><summary>See axolotl config</summary>
axolotl version: `0.4.0`
```yaml
base_model: openchat/openchat-3.5-0106
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: true
load_in_8bit: false
load_in_4bit: true
strict: false
datasets:
- path: merged_all.json
type:
field_instruction: instruction
field_output: output
format: "GPT4 Correct User: {instruction}<|end_of_turn|>GPT4 Correct Assistant:"
no_input_format: "GPT4 Correct User: {instruction}<|end_of_turn|>GPT4 Correct Assistant:"
dataset_prepared_path: last_run_prepared
val_set_size: 0.01 # not sure
output_dir: ./newton
adapter: qlora
lora_model_dir:
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
lora_r: 128
lora_alpha: 64
lora_dropout: 0.05
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
lora_modules_to_save:
- embed_tokens
- lm_head
wandb_project: huggingface
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
hub_model_id: Weyaxi/newton-lora
save_safetensors: true
# change #
gradient_accumulation_steps: 12
micro_batch_size: 6
num_epochs: 2
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002
# change #
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: false
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 10 # not sure
saves_per_epoch: 2
evals_per_epoch: 4
eval_table_size:
eval_table_max_new_tokens: 128
debug:
deepspeed:
weight_decay: 0.1 # not sure
fsdp:
fsdp_config:
special_tokens:
bos_token: "<s>"
eos_token: "</s>"
unk_token: "<unk>"
tokens:
- "<|end_of_turn|>"
- "<|pad_0|>"
```
</details><br>
# newton-lora
This model is a fine-tuned version of [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0800
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 72
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6925 | 0.02 | 1 | 1.3667 |
| 0.5622 | 0.25 | 16 | 0.3390 |
| 0.5269 | 0.5 | 32 | 0.1395 |
| 0.5343 | 0.75 | 48 | 0.1048 |
| 0.515 | 1.01 | 64 | 0.0904 |
| 0.3971 | 1.24 | 80 | 0.0854 |
| 0.3889 | 1.49 | 96 | 0.0820 |
| 0.3864 | 1.74 | 112 | 0.0800 |
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0

View File

@@ -0,0 +1,34 @@
{
"alpha_pattern": {},
"auto_mapping": null,
"base_model_name_or_path": "openchat/openchat-3.5-0106",
"bias": "none",
"fan_in_fan_out": null,
"inference_mode": true,
"init_lora_weights": true,
"layers_pattern": null,
"layers_to_transform": null,
"loftq_config": {},
"lora_alpha": 64,
"lora_dropout": 0.05,
"megatron_config": null,
"megatron_core": "megatron.core",
"modules_to_save": [
"embed_tokens",
"lm_head"
],
"peft_type": "LORA",
"r": 128,
"rank_pattern": {},
"revision": null,
"target_modules": [
"up_proj",
"k_proj",
"q_proj",
"v_proj",
"gate_proj",
"o_proj",
"down_proj"
],
"task_type": "CAUSAL_LM"
}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:40fd555db097a84bee437bf2145bbb963fea1baaafb24e027ec45684e122e966
size 1866559560

View File

@@ -0,0 +1,4 @@
{
"<|end_of_turn|>": 32000,
"<|pad_0|>": 32001
}

38
adapter/config.json Normal file
View File

@@ -0,0 +1,38 @@
{
"_name_or_path": "openchat/openchat-3.5-0106",
"architectures": [
"MistralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"quantization_config": {
"bnb_4bit_compute_dtype": "bfloat16",
"bnb_4bit_quant_type": "nf4",
"bnb_4bit_use_double_quant": true,
"llm_int8_enable_fp32_cpu_offload": false,
"llm_int8_has_fp16_weight": false,
"llm_int8_skip_modules": null,
"llm_int8_threshold": 6.0,
"load_in_4bit": true,
"load_in_8bit": false,
"quant_method": "bitsandbytes"
},
"rms_norm_eps": 1e-05,
"rope_theta": 10000.0,
"sliding_window": 4096,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.37.0",
"use_cache": false,
"vocab_size": 32002
}

View File

@@ -0,0 +1,28 @@
{
"additional_special_tokens": [
"<|end_of_turn|>",
"<|pad_0|>"
],
"bos_token": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": "</s>",
"unk_token": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

BIN
adapter/tokenizer.model (Stored with Git LFS) Normal file

Binary file not shown.

View File

@@ -0,0 +1,64 @@
{
"add_bos_token": true,
"add_eos_token": false,
"added_tokens_decoder": {
"0": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"32000": {
"content": "<|end_of_turn|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"32001": {
"content": "<|pad_0|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
}
},
"additional_special_tokens": [
"<|end_of_turn|>",
"<|pad_0|>"
],
"bos_token": "<s>",
"chat_template": "{{ bos_token }}{% for message in messages %}{{ 'GPT4 Correct ' + message['role'].title() + ': ' + message['content'] + '<|end_of_turn|>'}}{% endfor %}{% if add_generation_prompt %}{{ 'GPT4 Correct Assistant:' }}{% endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"legacy": true,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "</s>",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "LlamaTokenizer",
"trust_remote_code": false,
"unk_token": "<unk>",
"use_default_system_prompt": true,
"use_fast": true
}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9f5ad4b647c026438c48baa224d24e9d26d37d4f6e34861a9fc68e554a695160
size 5240