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--- |
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license: apache-2.0 |
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base_model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: workspace/out-mistral-2B |
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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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adapter: null |
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base_model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO |
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batch_size: 2 |
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bf16: auto |
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dataset_prepared_path: null |
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datasets: |
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- ds_type: json |
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path: /workspace/data.jsonl |
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type: context_qa.load_v2 |
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debug: null |
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deepspeed: null |
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early_stopping_patience: null |
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evals_per_epoch: 4 |
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flash_attention: null |
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fp16: null |
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fsdp: null |
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fsdp_config: null |
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gptq_groupsize: null |
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gptq_model_v1: null |
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gradient_checkpointing: true |
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group_by_length: false |
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learning_rate: 1.0e-05 |
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local_rank: null |
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logging_steps: 1 |
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lora_alpha: 32 |
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lora_dropout: 0.2 |
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lora_fan_in_fan_out: null |
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lora_model_dir: null |
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lora_r: 64 |
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lora_target_linear: true |
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lora_target_modules: null |
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lr_scheduler: cosine |
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max_packed_sequence_len: null |
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micro_batch_size: 1 |
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model_config: |
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output_router_logits: true |
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model_type: MistralForCausalLM |
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num_epochs: 4 |
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optimizer: adamw_bnb_8bit |
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output_dir: /workspace/out-mistral-2B |
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resume_from_checkpoint: null |
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saves_per_epoch: 1 |
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sequence_len: 2048 |
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special_tokens: |
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bos_token: <s> |
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eos_token: <|im_end|> |
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pad_token: </s> |
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tf32: true |
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tokenizer_type: LlamaTokenizer |
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torchdistx_path: null |
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train_on_inputs: false |
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trust_remote_code: true |
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val_set_size: 0.05 |
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wandb_entity: null |
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wandb_log_model: Nous-Hermes-2-Mistral-7B-DPO |
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wandb_name: mistral |
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wandb_project: Ultron-llama |
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wandb_watch: null |
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warmup_steps: 40 |
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weight_decay: 0.0 |
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xformers_attention: true |
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``` |
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</details><br> |
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# workspace/out-mistral-2B |
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This model is a fine-tuned version of [NousResearch/Nous-Hermes-2-Mistral-7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mistral-7B-DPO) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5036 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 2 |
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- total_train_batch_size: 4 |
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- total_eval_batch_size: 2 |
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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: 40 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6411 | 0.02 | 1 | 0.4803 | |
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| 0.5321 | 0.26 | 11 | 0.3867 | |
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| 0.4077 | 0.51 | 22 | 0.3591 | |
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| 0.4455 | 0.77 | 33 | 0.3995 | |
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| 0.2921 | 1.02 | 44 | 0.4368 | |
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| 0.3459 | 1.28 | 55 | 0.4884 | |
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| 0.2768 | 1.53 | 66 | 0.4978 | |
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| 0.4168 | 1.79 | 77 | 0.4808 | |
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| 0.14 | 2.05 | 88 | 0.4547 | |
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| 0.1132 | 2.3 | 99 | 0.4856 | |
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| 0.1055 | 2.56 | 110 | 0.4916 | |
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| 0.1385 | 2.81 | 121 | 0.4783 | |
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| 0.0455 | 3.07 | 132 | 0.4677 | |
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| 0.0211 | 3.33 | 143 | 0.4892 | |
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| 0.0236 | 3.58 | 154 | 0.5016 | |
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| 0.009 | 3.84 | 165 | 0.5036 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
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