| | --- |
| | library_name: peft |
| | license: apache-2.0 |
| | base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: results |
| | 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. --> |
| |
|
| | # results |
| |
|
| | 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 an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5906 |
| |
|
| | ## 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: 3e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 8 |
| | - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 8 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 12 | 0.7691 | |
| | | No log | 2.0 | 24 | 0.7223 | |
| | | No log | 3.0 | 36 | 0.6818 | |
| | | No log | 4.0 | 48 | 0.6482 | |
| | | No log | 5.0 | 60 | 0.6218 | |
| | | No log | 6.0 | 72 | 0.6041 | |
| | | No log | 7.0 | 84 | 0.5940 | |
| | | No log | 8.0 | 96 | 0.5906 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.14.0 |
| | - Transformers 4.48.3 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.3.2 |
| | - Tokenizers 0.21.0 |
