| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| base_model: distilroberta-base | |
| model-index: | |
| - name: distilroberta-base-uncased-distilled-emotion | |
| 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. --> | |
| # distilroberta-base-uncased-distilled-emotion | |
| This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2657 | |
| - Accuracy: 0.9078 | |
| ## 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: 64 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 7 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.9248 | 1.0 | 187 | 0.3691 | 0.8683 | | |
| | 0.3336 | 2.0 | 374 | 0.2765 | 0.8997 | | |
| | 0.2417 | 3.0 | 561 | 0.2726 | 0.9064 | | |
| | 0.1975 | 4.0 | 748 | 0.2569 | 0.9084 | | |
| | 0.1701 | 5.0 | 935 | 0.2613 | 0.9091 | | |
| | 0.1475 | 6.0 | 1122 | 0.2659 | 0.9118 | | |
| | 0.1317 | 7.0 | 1309 | 0.2657 | 0.9078 | | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.13.2 | |