| license: other | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: output | |
| 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. --> | |
| # output | |
| This model is a fine-tuned version of [decapoda-research/llama-7b-hf](https://huggingface.co/decapoda-research/llama-7b-hf) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: nan | |
| - Rouge2 Precision: 0.0762 | |
| - Rouge2 Recall: 0.0182 | |
| - Rouge2 Fmeasure: 0.029 | |
| ## 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: 5e-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | | |
| |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:| | |
| | No log | 1.0 | 63 | nan | 0.0762 | 0.0182 | 0.029 | | |
| | No log | 2.0 | 126 | nan | 0.0762 | 0.0182 | 0.029 | | |
| ### Framework versions | |
| - Transformers 4.28.0.dev0 | |
| - Pytorch 2.0.0+cu117 | |
| - Datasets 2.10.1 | |
| - Tokenizers 0.13.2 | |