| --- |
| library_name: peft |
| base_model: hf-tiny-model-private/tiny-random-OPTForCausalLM |
| tags: |
| - axolotl |
| - generated_from_trainer |
| model-index: |
| - name: 942cfd35-534e-4ab7-9dd2-335ce292d7c2 |
| 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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.4.1` |
| ```yaml |
| adapter: lora |
| base_model: hf-tiny-model-private/tiny-random-OPTForCausalLM |
| bf16: true |
| chat_template: llama3 |
| dataloader_num_workers: 6 |
| dataset_prepared_path: null |
| datasets: |
| - data_files: |
| - 9742221b6e81649f_train_data.json |
| ds_type: json |
| format: custom |
| path: /workspace/input_data/9742221b6e81649f_train_data.json |
| type: |
| field_input: language |
| field_instruction: company |
| field_output: sentence |
| format: '{instruction} {input}' |
| no_input_format: '{instruction}' |
| system_format: '{system}' |
| system_prompt: '' |
| debug: null |
| deepspeed: null |
| early_stopping: |
| metric: eval_loss |
| mode: min |
| patience: 3 |
| eval_max_new_tokens: 128 |
| eval_steps: 200 |
| eval_table_size: null |
| evals_per_epoch: null |
| flash_attention: true |
| fp16: true |
| fsdp: null |
| fsdp_config: null |
| gradient_accumulation_steps: 4 |
| gradient_checkpointing: false |
| group_by_length: true |
| hub_model_id: error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2 |
| hub_repo: null |
| hub_strategy: checkpoint |
| hub_token: null |
| learning_rate: 0.0002 |
| load_in_4bit: false |
| load_in_8bit: false |
| local_rank: null |
| logging_steps: 1 |
| lora_alpha: 16 |
| lora_dropout: 0.3 |
| lora_fan_in_fan_out: null |
| lora_model_dir: null |
| lora_r: 8 |
| lora_target_linear: true |
| lr_scheduler: cosine |
| max_grad_norm: 1.0 |
| max_steps: 3500 |
| micro_batch_size: 16 |
| mlflow_experiment_name: /tmp/9742221b6e81649f_train_data.json |
| model_type: AutoModelForCausalLM |
| num_epochs: 50 |
| optimizer: adamw_bnb_8bit |
| output_dir: miner_id_24 |
| pad_to_sequence_len: true |
| resume_from_checkpoint: null |
| s2_attention: null |
| sample_packing: false |
| save_steps: 200 |
| sequence_len: 64 |
| strict: false |
| tf32: false |
| tokenizer_type: AutoTokenizer |
| train_on_inputs: false |
| trust_remote_code: true |
| val_set_size: 0.02 |
| wandb_entity: null |
| wandb_mode: online |
| wandb_name: 1be7f53b-7c51-4d01-9396-e086bf3f09dd |
| wandb_project: Gradients-On-Demand |
| wandb_run: your_name |
| wandb_runid: 1be7f53b-7c51-4d01-9396-e086bf3f09dd |
| warmup_steps: 10 |
| weight_decay: 0.01 |
| xformers_attention: null |
| |
| ``` |
|
|
| </details><br> |
|
|
| # 942cfd35-534e-4ab7-9dd2-335ce292d7c2 |
|
|
| This model is a fine-tuned version of [hf-tiny-model-private/tiny-random-OPTForCausalLM](https://huggingface.co/hf-tiny-model-private/tiny-random-OPTForCausalLM) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 6.9015 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 10 |
| - training_steps: 3500 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 27.7344 | 0.0025 | 1 | 6.9353 | |
| | 27.4324 | 0.5057 | 200 | 6.9087 | |
| | 27.6605 | 1.0114 | 400 | 6.9080 | |
| | 27.6448 | 1.5171 | 600 | 6.9054 | |
| | 27.6474 | 2.0228 | 800 | 6.9055 | |
| | 27.6403 | 2.5284 | 1000 | 6.9049 | |
| | 27.6381 | 3.0341 | 1200 | 6.9040 | |
| | 27.6395 | 3.5398 | 1400 | 6.9025 | |
| | 27.6276 | 4.0455 | 1600 | 6.9028 | |
| | 27.6327 | 4.5512 | 1800 | 6.9028 | |
| | 27.6274 | 5.0569 | 2000 | 6.9020 | |
| | 27.6326 | 5.5626 | 2200 | 6.9019 | |
| | 27.6167 | 6.0683 | 2400 | 6.9010 | |
| | 27.645 | 6.5740 | 2600 | 6.9005 | |
| | 27.6261 | 7.0796 | 2800 | 6.9017 | |
| | 27.6214 | 7.5853 | 3000 | 6.9015 | |
| | 27.6217 | 8.0910 | 3200 | 6.9016 | |
| | 27.6327 | 8.5967 | 3400 | 6.9015 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.13.2 |
| - Transformers 4.46.0 |
| - Pytorch 2.5.0+cu124 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.1 |
