| license: mit | |
| base_model: EleutherAI/gpt-neo-2.7B | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: gpt-neo-2.7B-cs-finetuning-7-60000 | |
| 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. --> | |
| # gpt-neo-2.7B-cs-finetuning-7-60000 | |
| This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.4477 | |
| ## 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: 2e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 2.5787 | 1.0 | 765 | 2.4157 | | |
| | 1.8828 | 2.0 | 1530 | 2.3721 | | |
| | 1.4804 | 3.0 | 2295 | 2.4477 | | |
| ### Framework versions | |
| - Transformers 4.37.2 | |
| - Pytorch 2.2.1 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.15.1 | |