End of training
Browse files- README.md +148 -0
- adapter_model.bin +3 -0
README.md
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---
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library_name: peft
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license: apache-2.0
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base_model: princeton-nlp/Sheared-LLaMA-1.3B
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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: 837353c6-bfd2-4a87-979d-591305107c94
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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: lora
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base_model: princeton-nlp/Sheared-LLaMA-1.3B
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bf16: auto
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chat_template: llama3
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dataset_prepared_path: null
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datasets:
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- data_files:
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- d4aaa754d4db65bf_train_data.json
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ds_type: json
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field: text
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path: /workspace/input_data/d4aaa754d4db65bf_train_data.json
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type: completion
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debug: null
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deepspeed: null
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early_stopping_patience: 1
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eval_max_new_tokens: 128
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eval_steps: 25
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eval_table_size: null
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flash_attention: true
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fp16: false
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fsdp: null
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fsdp_config: null
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gradient_accumulation_steps: 4
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gradient_checkpointing: true
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group_by_length: true
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hub_model_id: diaenra/837353c6-bfd2-4a87-979d-591305107c94
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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: 0.0002
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load_in_4bit: false
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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: 32
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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: 16
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lora_target_linear: true
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lr_scheduler: cosine
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max_steps: 100
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micro_batch_size: 2
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mlflow_experiment_name: /tmp/d4aaa754d4db65bf_train_data.json
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model_type: AutoModelForCausalLM
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num_epochs: 1
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optimizer: adamw_torch
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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: 25
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sequence_len: 4056
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special_tokens:
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pad_token: </s>
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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: 0.05
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wandb_entity: diaenra-tao-miner
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wandb_mode: online
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wandb_name: 837353c6-bfd2-4a87-979d-591305107c94
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wandb_project: tao
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wandb_run: diaenra
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wandb_runid: 837353c6-bfd2-4a87-979d-591305107c94
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warmup_ratio: 0.05
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weight_decay: 0.01
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xformers_attention: true
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```
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</details><br>
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# 837353c6-bfd2-4a87-979d-591305107c94
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This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6855
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 5
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- training_steps: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.2693 | 0.0001 | 1 | 2.8410 |
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| 2.5126 | 0.0037 | 25 | 2.7154 |
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| 2.7793 | 0.0074 | 50 | 2.7025 |
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| 2.7395 | 0.0111 | 75 | 2.6895 |
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| 2.9277 | 0.0148 | 100 | 2.6855 |
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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
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:10961fdeb35d2b2f75c83bc67034ba86add90d80c6ff49c521cc668dda01b781
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size 60086346
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