| | --- |
| | license: apache-2.0 |
| | base_model: mistralai/Mistral-7B-v0.1 |
| | datasets: NeuralNovel/Neural-DPO |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: out |
| | 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: mistralai/Mistral-7B-v0.1 |
| | model_type: MistralForCausalLM |
| | tokenizer_type: LlamaTokenizer |
| | is_mistral_derived_model: true |
| | |
| | load_in_8bit: false |
| | load_in_4bit: false |
| | strict: false |
| | |
| | rl: dpo |
| | datasets: |
| | - path: NeuralNovel/Neural-DPO |
| | split: train |
| | type: chatml.intel |
| | format: "[INST] {instruction} [/INST]" |
| | no_input_format: "[INST] {instruction} [/INST]" |
| | |
| | dataset_prepared_path: |
| | val_set_size: 0.05 |
| | output_dir: ./out |
| | |
| | sequence_len: 8192 |
| | sample_packing: false |
| | pad_to_sequence_len: true |
| | eval_sample_packing: false |
| | |
| | wandb_project: |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: Neural-DPO |
| | wandb_log_model: |
| | |
| | gradient_accumulation_steps: 4 |
| | micro_batch_size: 2 |
| | num_epochs: 4 |
| | optimizer: adamw_bnb_8bit |
| | lr_scheduler: cosine |
| | learning_rate: 0.000005 |
| | |
| | train_on_inputs: false |
| | group_by_length: false |
| | bf16: auto |
| | fp16: |
| | tf32: false |
| | |
| | gradient_checkpointing: true |
| | early_stopping_patience: |
| | resume_from_checkpoint: |
| | local_rank: |
| | logging_steps: 1 |
| | xformers_attention: |
| | flash_attention: true |
| | |
| | warmup_steps: 10 |
| | evals_per_epoch: 4 |
| | eval_table_size: |
| | eval_max_new_tokens: 128 |
| | saves_per_epoch: 1 |
| | debug: |
| | deepspeed: |
| | weight_decay: 0.0 |
| | fsdp: |
| | fsdp_config: |
| | special_tokens: |
| | bos_token: "<s>" |
| | eos_token: "</s>" |
| | unk_token: "<unk>" |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # out |
| |
|
| | This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. |
| |
|
| | ## 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: 5e-06 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 10 |
| | - training_steps: 534 |
| |
|
| | ### Training results |
| |
|
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.0.dev0 |
| | - Pytorch 2.2.0+cu121 |
| | - Datasets 2.17.0 |
| | - Tokenizers 0.15.0 |
| |
|
