End of training
Browse files- README.md +192 -0
- adapter_model.bin +3 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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license: other
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base_model: facebook/opt-125m
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tags:
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- axolotl
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- generated_from_trainer
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model-index:
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- name: 5f0159c4-1008-4527-9092-4ee6e6b9e663
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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/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)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.4.1`
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```yaml
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adapter: qlora
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auto_resume_from_checkpoints: true
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base_model: facebook/opt-125m
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bf16: auto
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chat_template: llama3
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dataloader_num_workers: 12
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dataset_prepared_path: null
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datasets:
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- data_files:
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- 47b36a24df61e9c5_train_data.json
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ds_type: json
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format: custom
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path: /workspace/input_data/47b36a24df61e9c5_train_data.json
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type:
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field_input: documents
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field_instruction: question
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field_output: answer
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format: '{instruction} {input}'
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no_input_format: '{instruction}'
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system_format: '{system}'
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system_prompt: ''
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debug: null
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deepspeed: null
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early_stopping_patience: 3
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eval_max_new_tokens: 128
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eval_steps: 50
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eval_table_size: null
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evals_per_epoch: null
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flash_attention: true
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fp16: null
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fsdp: null
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fsdp_config: null
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gradient_accumulation_steps: 16
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gradient_checkpointing: true
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group_by_length: true
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hub_model_id: error577/5f0159c4-1008-4527-9092-4ee6e6b9e663
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hub_repo: null
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hub_strategy: checkpoint
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hub_token: null
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learning_rate: 0.0003
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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: 128
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lora_dropout: 0.3
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lora_fan_in_fan_out: null
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lora_model_dir: null
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lora_r: 128
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lora_target_linear: true
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lr_scheduler: cosine
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max_grad_norm: 1.0
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max_steps: null
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micro_batch_size: 1
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mlflow_experiment_name: /tmp/47b36a24df61e9c5_train_data.json
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model_type: AutoModelForCausalLM
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num_epochs: 3
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optimizer: adamw_bnb_8bit
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output_dir: miner_id_24
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pad_to_sequence_len: true
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resume_from_checkpoint: null
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s2_attention: null
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sample_packing: false
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save_steps: 50
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sequence_len: 512
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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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trust_remote_code: true
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val_set_size: 0.02
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wandb_entity: null
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wandb_mode: online
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wandb_name: a6924886-18eb-47b1-8a4b-24becc99648c
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid: a6924886-18eb-47b1-8a4b-24becc99648c
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warmup_steps: 10
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weight_decay: 0.01
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xformers_attention: null
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```
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</details><br>
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# 5f0159c4-1008-4527-9092-4ee6e6b9e663
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2857
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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: 0.0003
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 47.7848 | 0.0004 | 1 | 3.0276 |
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| 34.159 | 0.0202 | 50 | 2.9019 |
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| 39.2367 | 0.0405 | 100 | 2.5922 |
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| 52.0151 | 0.0607 | 150 | 2.5356 |
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| 33.4878 | 0.0809 | 200 | 2.5099 |
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| 25.6957 | 0.1012 | 250 | 2.4814 |
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| 27.5454 | 0.1214 | 300 | 2.4519 |
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| 32.6855 | 0.1417 | 350 | 2.4207 |
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| 25.3411 | 0.1619 | 400 | 2.4211 |
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| 27.4427 | 0.1821 | 450 | 2.4128 |
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| 34.6101 | 0.2024 | 500 | 2.3944 |
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| 23.8259 | 0.2226 | 550 | 2.3888 |
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| 23.7378 | 0.2428 | 600 | 2.3808 |
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| 27.431 | 0.2631 | 650 | 2.3735 |
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| 26.069 | 0.2833 | 700 | 2.3755 |
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| 20.5981 | 0.3035 | 750 | 2.3722 |
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| 23.1821 | 0.3238 | 800 | 2.3646 |
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| 20.5374 | 0.3440 | 850 | 2.3509 |
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| 22.8665 | 0.3642 | 900 | 2.3556 |
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| 21.9577 | 0.3845 | 950 | 2.3418 |
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| 20.0986 | 0.4047 | 1000 | 2.3399 |
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| 29.616 | 0.4250 | 1050 | 2.3433 |
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| 25.8536 | 0.4452 | 1100 | 2.3335 |
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| 18.732 | 0.4654 | 1150 | 2.3298 |
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| 21.2083 | 0.4857 | 1200 | 2.3250 |
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| 20.2594 | 0.5059 | 1250 | 2.3195 |
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| 14.3002 | 0.5261 | 1300 | 2.3196 |
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| 24.714 | 0.5464 | 1350 | 2.3132 |
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| 22.0257 | 0.5666 | 1400 | 2.3093 |
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| 16.7176 | 0.5868 | 1450 | 2.3012 |
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| 15.5525 | 0.6071 | 1500 | 2.3052 |
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| 20.5451 | 0.6273 | 1550 | 2.2970 |
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| 31.716 | 0.6475 | 1600 | 2.2905 |
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| 23.2587 | 0.6678 | 1650 | 2.2938 |
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| 16.72 | 0.6880 | 1700 | 2.2914 |
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| 19.7095 | 0.7083 | 1750 | 2.2868 |
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| 25.7639 | 0.7285 | 1800 | 2.2802 |
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| 30.8813 | 0.7487 | 1850 | 2.2860 |
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| 25.8737 | 0.7690 | 1900 | 2.2825 |
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| 21.8546 | 0.7892 | 1950 | 2.2857 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.0
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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adapter_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 84987466
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 84954584
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