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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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- axolotl |
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- generated_from_trainer |
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base_model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser |
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model-index: |
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- name: cheater-7b |
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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: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser |
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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: ./julia/data.jsonl |
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type: sharegpt |
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conversation: chatml |
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dataset_prepared_path: ./julia/prepared_data |
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chat_template: chatml |
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val_set_size: 0.05 |
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output_dir: ./julia/lora-out |
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hub_model_id: animmina/cheater-7b |
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hub_strategy: every_save |
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hf_use_auth_token: true |
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sequence_len: 2048 |
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sample_packing: true |
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pad_to_sequence_len: true |
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eval_sample_packing: false |
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adapter: lora |
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lora_model_dir: |
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lora_r: 8 |
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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_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: cheater-7b |
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wandb_entity: |
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wandb_watch: |
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wandb_name: v02 |
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wandb_log_model: |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 4 |
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num_epochs: 4 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.00003 |
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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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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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bos_token: "<s>" |
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eos_token: "<|im_end|>" |
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unk_token: "<unk>" |
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``` |
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</details><br> |
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# cheater-7b |
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This model is a fine-tuned version of [cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser) on 11 test cases from the [Julia LLM Leaderboard](https://github.com/svilupp/Julia-LLM-Leaderboard). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5741 |
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## Model description |
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Simple LORA adapter (rank: 8). |
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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: 3e-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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- 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: 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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| 0.554 | 0.04 | 1 | 0.6521 | |
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| 0.4152 | 0.26 | 7 | 0.6499 | |
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| 0.3984 | 0.52 | 14 | 0.6283 | |
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| 0.4133 | 0.78 | 21 | 0.6140 | |
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| 0.3772 | 1.04 | 28 | 0.5951 | |
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| 0.3855 | 1.22 | 35 | 0.5869 | |
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| 0.4077 | 1.48 | 42 | 0.5840 | |
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| 0.3104 | 1.74 | 49 | 0.5793 | |
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| 0.3345 | 2.0 | 56 | 0.5776 | |
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| 0.3207 | 2.19 | 63 | 0.5761 | |
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| 0.3679 | 2.44 | 70 | 0.5784 | |
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| 0.3593 | 2.7 | 77 | 0.5781 | |
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| 0.2391 | 2.96 | 84 | 0.5761 | |
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| 0.3329 | 3.15 | 91 | 0.5743 | |
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| 0.2636 | 3.41 | 98 | 0.5744 | |
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| 0.3114 | 3.67 | 105 | 0.5741 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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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 |
