| --- |
| license: other |
| base_model: meta-llama/Meta-Llama-3-8B |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: no-inputs |
| 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: meta-llama/Meta-Llama-3-8B |
| model_type: LlamaForCausalLM |
| tokenizer_type: AutoTokenizer |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| datasets: |
| - path: awilliamson/horses-pp |
| type: alpaca |
| dataset_prepared_path: last_run_prepared |
| val_set_size: 0 |
| output_dir: ./no-inputs |
| |
| sequence_len: 8192 |
| sample_packing: false |
| pad_to_sequence_len: true |
| |
| wandb_project: derby |
| wandb_entity: willfulbytes |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 1 |
| micro_batch_size: 1 |
| num_epochs: 4 |
| optimizer: adamw_torch |
| lr_scheduler: cosine |
| learning_rate: 2e-5 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: false |
| |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: false |
| early_stopping_patience: |
| resume_from_checkpoint: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| |
| warmup_steps: 20 |
| evals_per_epoch: |
| eval_table_size: |
| saves_per_epoch: 1 |
| debug: |
| deepspeed: |
| weight_decay: 0.0 |
| fsdp: |
| - full_shard |
| - auto_wrap |
| fsdp_config: |
| fsdp_offload_params: true |
| fsdp_state_dict_type: FULL_STATE_DICT |
| fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer |
| special_tokens: |
| pad_token: <|end_of_text|> |
| tokens: |
| - <|start_St|> |
| - <|end_St|> |
| - <|start_1/4|> |
| - <|end_1/4|> |
| - <|start_1/2|> |
| - <|end_1/2|> |
| - <|start_3/8|> |
| - <|end_3/8|> |
| - <|start_3/4|> |
| - <|end_4/4|> |
| - <|start_Str|> |
| - <|end_Str|> |
| - <|start_Fin|> |
| - <|end_Fin|> |
| - PP1 |
| - PP2 |
| - PP3 |
| - PP4 |
| - PP5 |
| - PP6 |
| - PP7 |
| - PP8 |
| - PP9 |
| - PP10 |
| - PP11 |
| - PP12 |
| - PP13 |
| - PP14 |
| - PP15 |
| - PP16 |
| - PP17 |
| - PP18 |
| - PP19 |
| - PP20 |
| ``` |
|
|
| </details><br> |
|
|
| # no-inputs |
|
|
| This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None 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: 2e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - total_train_batch_size: 2 |
| - total_eval_batch_size: 2 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 20 |
| - num_epochs: 4 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.40.0.dev0 |
| - Pytorch 2.2.0 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
