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--- |
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base_model: mistralai/Mistral-7B-v0.1 |
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tags: |
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- mistral |
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- instruct |
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- finetune |
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- chatml |
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- gpt4 |
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- synthetic data |
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- distillation |
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model-index: |
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- name: Thestral-0.1 |
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results: [] |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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# Thestral v0.1 |
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Thestral is Mistral Fine-tune. The model is a QLoRA version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the [Open-Orca/SlimOrca](https://huggingface.co/datasets/Open-Orca/SlimOrca). |
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This model is finetuned using `1xH100` using [axolotl](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: false |
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load_in_4bit: true |
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strict: false |
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datasets: |
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- path: Open-Orca/SlimOrca |
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type: sharegpt |
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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: ./qlora-out_2 |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 8192 |
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sample_packing: true |
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pad_to_sequence_len: true |
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lora_r: 128 |
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lora_alpha: 32 |
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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: slim_orca |
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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: 4 |
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micro_batch_size: 2 |
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num_epochs: 1 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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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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bos_token: "<s>" |
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eos_token: "</s>" |
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unk_token: "<unk>" |
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``` |
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</details><br> |
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GPT-4All Benchmark Set |
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| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr| |
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|-------------|------:|------|------|--------|-----:|---|-----:| |
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|winogrande | 1|none |None |acc |0.7498|± |0.0122| |
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|piqa | 1|none |None |acc |0.8172|± |0.0090| |
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| | |none |None |acc_norm|0.8286|± |0.0088| |
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|openbookqa | 1|none |None |acc |0.3380|± |0.0212| |
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| | |none |None |acc_norm|0.4420|± |0.0222| |
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|hellaswag | 1|none |None |acc |0.6254|± |0.0048| |
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| | |none |None |acc_norm|0.8061|± |0.0039| |
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|boolq | 2|none |None |acc |0.8740|± |0.0058| |
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|arc_easy | 1|none |None |acc |0.8199|± |0.0079| |
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| | |none |None |acc_norm|0.7891|± |0.0084| |
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|arc_challenge| 1|none |None |acc |0.5145|± |0.0146| |
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| | |none |None |acc_norm|0.5461|± |0.0145| |
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**Average: 71.93** |
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# 🤖 Additional information about training |
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This model is fine-tuned for 1.0 epoch. |
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<details><summary>Loss graph</summary> |
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</details><br> |
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Thanks to [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) for making the repository we used to make this model. |
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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) |
