| --- |
| license: other |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: Qwen/Qwen1.5-7B |
| model-index: |
| - name: home/yujia/home/CN_Hateful/trained_models/qwen/toxi/3e-5/ |
| 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: Qwen/Qwen-7B |
| base_model: Qwen/Qwen1.5-7B |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| |
| trust_remote_code: true |
| |
| load_in_8bit: true |
| load_in_4bit: false |
| strict: false |
| |
| datasets: |
| # - path: mhenrichsen/alpaca_2k_test |
| - path: /home/yujia/home/CN_Hateful/train_toxiCN.json |
| ds_type: json |
| type: alpaca |
| dataset_prepared_path: |
| val_set_size: 0.05 |
| output_dir: /home/yujia/home/CN_Hateful/trained_models/qwen/toxi/3e-5/ |
| |
| sequence_len: 256 # supports up to 8192 |
| sample_packing: false |
| pad_to_sequence_len: |
| |
| adapter: lora |
| lora_model_dir: |
| lora_r: 32 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_target_linear: true |
| lora_fan_in_fan_out: |
| |
| wandb_project: |
| wandb_entity: |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 4 |
| micro_batch_size: 2 |
| num_epochs: 3 |
| optimizer: adamw_bnb_8bit |
| lr_scheduler: cosine |
| learning_rate: 0.00003 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: false |
| |
| gradient_checkpointing: false |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: |
| |
| warmup_steps: 10 |
| evals_per_epoch: 4 |
| eval_table_size: |
| eval_max_new_tokens: 20 |
| saves_per_epoch: 1 |
| debug: |
| deepspeed: |
| weight_decay: 0.0 |
| fsdp: |
| fsdp_config: |
| special_tokens: |
| |
| ``` |
|
|
| </details><br> |
|
|
| # home/yujia/home/CN_Hateful/trained_models/qwen/toxi/3e-5/ |
|
|
| This model is a fine-tuned version of [Qwen/Qwen1.5-7B](https://huggingface.co/Qwen/Qwen1.5-7B) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0527 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - total_eval_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 10 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.4697 | 0.0 | 1 | 3.5475 | |
| | 0.0788 | 0.25 | 142 | 0.0807 | |
| | 0.0973 | 0.5 | 284 | 0.0657 | |
| | 0.0454 | 0.75 | 426 | 0.0627 | |
| | 0.0263 | 1.0 | 568 | 0.0547 | |
| | 0.0819 | 1.26 | 710 | 0.0521 | |
| | 0.0552 | 1.51 | 852 | 0.0530 | |
| | 0.0764 | 1.76 | 994 | 0.0523 | |
| | 0.0503 | 2.01 | 1136 | 0.0514 | |
| | 0.0221 | 2.26 | 1278 | 0.0519 | |
| | 0.0267 | 2.51 | 1420 | 0.0534 | |
| | 0.0213 | 2.76 | 1562 | 0.0527 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.10.0 |
| - Transformers 4.40.0.dev0 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.0 |
