finetuned_sentence_itr0_3e-05_all_27_02_2022-19_16_53
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3944
- Accuracy: 0.8279
- F1: 0.8901
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: 3e-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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 195 | 0.3946 | 0.8012 | 0.8743 |
| No log | 2.0 | 390 | 0.3746 | 0.8329 | 0.8929 |
| 0.3644 | 3.0 | 585 | 0.4288 | 0.8268 | 0.8849 |
| 0.3644 | 4.0 | 780 | 0.5352 | 0.8232 | 0.8841 |
| 0.3644 | 5.0 | 975 | 0.5768 | 0.8268 | 0.8864 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
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