| library_name: transformers | |
| license: apache-2.0 | |
| base_model: allenai/longformer-base-4096 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| model-index: | |
| - name: Finetuning_Longformer_IMDb_movie_reviews_Classification | |
| 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. --> | |
| # Finetuning_Longformer_IMDb_movie_reviews_Classification | |
| This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4155 | |
| - Accuracy: 0.9173 | |
| - F1: 0.9173 | |
| ## 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: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| | |
| | 0.3594 | 1.0 | 9000 | 0.4529 | 0.897 | 0.8967 | | |
| | 0.2779 | 2.0 | 18000 | 0.4155 | 0.9173 | 0.9173 | | |
| ### Framework versions | |
| - Transformers 4.46.3 | |
| - Pytorch 2.4.0 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.20.3 | |