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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: home/yujia/home/CN_Hateful/trained_models/mistral/CN/toxi/1e-5/ |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.0` |
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```yaml |
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base_model: mistralai/Mistral-7B-v0.1 |
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model_type: MistralForCausalLM |
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tokenizer_type: LlamaTokenizer |
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load_in_8bit: true |
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load_in_4bit: false |
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strict: false |
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datasets: |
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# - path: mhenrichsen/alpaca_2k_test |
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# - path: /home/yujia/home/CN_Hateful/train_toxiCN.json |
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- path: /home/yujia/home/CN_Hateful/train_toxiCN_cn.json |
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# - path: /home/yujia/home/CN_Hateful/train.json |
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ds_type: json |
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type: alpaca |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.1 |
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# output_dir: /home/yujia/home/CN_Hateful/trained_models/mistral/toxi/1e-5/ |
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output_dir: /home/yujia/home/CN_Hateful/trained_models/mistral/CN/toxi/1e-5/ |
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# output_dir: /home/yujia/home/CN_Hateful/trained_models/mistral/cold/3e-5/ |
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adapter: lora |
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lora_model_dir: |
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sequence_len: 256 |
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sample_packing: true |
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pad_to_sequence_len: true |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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lora_target_modules: |
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- gate_proj |
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- down_proj |
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- up_proj |
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- q_proj |
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- v_proj |
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- k_proj |
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- o_proj |
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wandb_project: |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 4 |
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num_epochs: 3 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.00001 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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loss_watchdog_threshold: 5.0 |
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loss_watchdog_patience: 3 |
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warmup_steps: 10 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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``` |
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</details><br> |
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# home/yujia/home/CN_Hateful/trained_models/mistral/CN/toxi/1e-5/ |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0627 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.5188 | 0.01 | 1 | 2.5282 | |
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| 1.0047 | 0.25 | 17 | 0.8628 | |
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| 0.086 | 0.51 | 34 | 0.0862 | |
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| 0.0732 | 0.76 | 51 | 0.0753 | |
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| 0.0719 | 1.02 | 68 | 0.0753 | |
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| 0.0722 | 1.25 | 85 | 0.0680 | |
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| 0.0676 | 1.51 | 102 | 0.0666 | |
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| 0.068 | 1.76 | 119 | 0.0648 | |
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| 0.0562 | 2.02 | 136 | 0.0637 | |
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| 0.0674 | 2.25 | 153 | 0.0628 | |
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| 0.0611 | 2.51 | 170 | 0.0625 | |
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| 0.0536 | 2.76 | 187 | 0.0627 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
