| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: distilroberta-base | |
| 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 | |
| This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.6935 | |
| - Precision: 0.7556 | |
| - Recall: 0.7556 | |
| - F1: 0.7556 | |
| - Accuracy: 0.7556 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.2481 | 1.0 | 2355 | 1.5506 | 0.7409 | 0.7409 | 0.7409 | 0.7409 | | |
| | 0.3473 | 2.0 | 4710 | 1.5572 | 0.7428 | 0.7428 | 0.7428 | 0.7428 | | |
| | 0.2614 | 3.0 | 7065 | 1.6423 | 0.7539 | 0.7539 | 0.7539 | 0.7539 | | |
| | 0.1337 | 4.0 | 9420 | 1.6935 | 0.7556 | 0.7556 | 0.7556 | 0.7556 | | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 1.13.1+cu117 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |