| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| base_model: distilbert-base-uncased | |
| model-index: | |
| - name: distilbert-base-uncased__sst2__all-train | |
| 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. --> | |
| # distilbert-base-uncased__sst2__all-train | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2496 | |
| - Accuracy: 0.8962 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 50 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.3643 | 1.0 | 433 | 0.2496 | 0.8962 | | |
| | 0.196 | 2.0 | 866 | 0.2548 | 0.9110 | | |
| | 0.0915 | 3.0 | 1299 | 0.4483 | 0.8957 | | |
| | 0.0505 | 4.0 | 1732 | 0.4968 | 0.9044 | | |
| ### Framework versions | |
| - Transformers 4.15.0 | |
| - Pytorch 1.10.1+cu102 | |
| - Datasets 1.17.0 | |
| - Tokenizers 0.10.3 | |