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--- |
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license: other |
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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: meta-llama/Meta-Llama-3-70B-Instruct |
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model-index: |
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- name: empower-functions-llama3-70b-parallel-all-linear |
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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: qlora |
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base_model: meta-llama/Meta-Llama-3-70B-Instruct |
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bf16: auto |
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datasets: |
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- conversation: llama-3 |
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path: a265546be8c24d59bfdc6ba69431b635/./data/with_function_response/original_clean/function_used_training_shuffled.jsonl |
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type: sharegpt |
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- conversation: llama-3 |
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path: a265546be8c24d59bfdc6ba69431b635/./data/with_function_response/original_clean/function_not_used_training.jsonl |
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type: sharegpt |
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- conversation: llama-3 |
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path: a265546be8c24d59bfdc6ba69431b635/./data/with_function_response/parallel_call/parallel_data_training.jsonl |
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type: sharegpt |
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debug: null |
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deepspeed: null |
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early_stopping_patience: null |
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eval_table_size: null |
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evals_per_epoch: 4 |
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flash_attention: true |
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fp16: null |
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fsdp: |
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- full_shard |
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- auto_wrap |
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fsdp_config: |
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fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
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fsdp_cpu_ram_efficient_loading: true |
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fsdp_limit_all_gathers: true |
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fsdp_offload_params: true |
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fsdp_sharding_strategy: FULL_SHARD |
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fsdp_state_dict_type: FULL_STATE_DICT |
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fsdp_sync_module_states: true |
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fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer |
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fsdp_use_orig_params: false |
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gradient_accumulation_steps: 2 |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: true |
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group_by_length: false |
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hub_model_id: liuylhf/empower-functions-llama3-70b-parallel-all-linear |
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learning_rate: 0.0002 |
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load_in_4bit: true |
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load_in_8bit: false |
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local_rank: null |
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logging_steps: 1 |
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lora_alpha: 64 |
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lora_dropout: 0.05 |
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lora_fan_in_fan_out: null |
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lora_model_dir: null |
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lora_r: 32 |
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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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micro_batch_size: 4 |
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model_type: LlamaForCausalLM |
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num_epochs: 4 |
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optimizer: adamw_torch |
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output_dir: a265546be8c24d59bfdc6ba69431b635/model |
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pad_to_sequence_len: true |
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resume_from_checkpoint: null |
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sample_packing: true |
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saves_per_epoch: 10 |
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sequence_len: 4096 |
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special_tokens: |
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pad_token: <|end_of_text|> |
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strict: false |
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tf32: false |
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tokenizer_type: AutoTokenizer |
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train_on_inputs: false |
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val_set_size: 0.05 |
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wandb_entity: null |
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wandb_log_model: null |
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wandb_name: null |
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wandb_project: null |
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wandb_watch: null |
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warmup_steps: 10 |
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weight_decay: 0.0 |
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xformers_attention: null |
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``` |
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</details><br> |
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# empower-functions-llama3-70b-parallel-all-linear |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0436 |
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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: 0.0002 |
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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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 16 |
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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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| 2.0962 | 0.0067 | 1 | 2.0635 | |
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| 0.0715 | 0.2492 | 37 | 0.0770 | |
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| 0.0556 | 0.4983 | 74 | 0.0600 | |
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| 0.0559 | 0.7475 | 111 | 0.0549 | |
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| 0.0542 | 0.9966 | 148 | 0.0523 | |
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| 0.0439 | 1.2256 | 185 | 0.0505 | |
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| 0.0484 | 1.4747 | 222 | 0.0496 | |
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| 0.043 | 1.7239 | 259 | 0.0477 | |
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| 0.0467 | 1.9731 | 296 | 0.0464 | |
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| 0.0406 | 2.2020 | 333 | 0.0462 | |
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| 0.0424 | 2.4512 | 370 | 0.0453 | |
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| 0.0378 | 2.7003 | 407 | 0.0443 | |
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| 0.0382 | 2.9495 | 444 | 0.0435 | |
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| 0.0352 | 3.1785 | 481 | 0.0439 | |
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| 0.0328 | 3.4276 | 518 | 0.0438 | |
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| 0.0329 | 3.6768 | 555 | 0.0437 | |
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| 0.0378 | 3.9259 | 592 | 0.0436 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.19.1 |
