| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| base_model: distilbert-base-uncased-finetuned-sst-2-english | |
| model-index: | |
| - name: semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english | |
| 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. --> | |
| # semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english | |
| This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 3.5298 | |
| - F1: 0.4120 | |
| ## 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: 64 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | No log | 1.0 | 22 | 3.4120 | 0.3965 | | |
| | No log | 2.0 | 44 | 3.4436 | 0.3834 | | |
| | No log | 3.0 | 66 | 3.5298 | 0.4120 | | |
| | No log | 4.0 | 88 | 3.5558 | 0.4018 | | |
| | No log | 5.0 | 110 | 3.6086 | 0.4002 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.1 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |