| base_model: TinyLlama/TinyLlama_v1.1 | |
| datasets: | |
| - generator | |
| library_name: peft | |
| license: apache-2.0 | |
| tags: | |
| - trl | |
| - sft | |
| - generated_from_trainer | |
| model-index: | |
| - name: train_output_dir | |
| 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. --> | |
| # train_output_dir | |
| This model is a fine-tuned version of [TinyLlama/TinyLlama_v1.1](https://huggingface.co/TinyLlama/TinyLlama_v1.1) on the generator dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.5212 | |
| ## 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: 4 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: constant | |
| - training_steps: 100 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | 1.9653 | 0.1575 | 20 | 1.9348 | | |
| | 1.853 | 0.3150 | 40 | 1.7662 | | |
| | 1.6943 | 0.4724 | 60 | 1.6475 | | |
| | 1.6361 | 0.6299 | 80 | 1.5510 | | |
| | 1.6067 | 0.7874 | 100 | 1.5212 | | |
| ### Framework versions | |
| - PEFT 0.11.1 | |
| - Transformers 4.42.4 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 |