finetuned_sentence_itr0_2e-05_all_26_02_2022-03_57_45
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: 0.4345
- Accuracy: 0.8321
- F1: 0.8904
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 195 | 0.3922 | 0.8061 | 0.8747 |
| No log | 2.0 | 390 | 0.3764 | 0.8171 | 0.8837 |
| 0.4074 | 3.0 | 585 | 0.3873 | 0.8220 | 0.8843 |
| 0.4074 | 4.0 | 780 | 0.4361 | 0.8232 | 0.8854 |
| 0.4074 | 5.0 | 975 | 0.4555 | 0.8159 | 0.8793 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
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