| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: prompt_tuning_IA3 |
| 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. --> |
|
|
| # prompt_tuning_IA3 |
|
|
| This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.5470 |
|
|
| ## Model description |
|
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| More information needed |
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| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
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| More information needed |
|
|
| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 0.001 |
| - train_batch_size: 2 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 2.5495 | 1.0 | 7125 | 2.5910 | |
| | 2.4995 | 2.0 | 14250 | 2.5553 | |
| | 2.4656 | 3.0 | 21375 | 2.5470 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.52.4 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.2 |
