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finetuned_token_itr0_2e-05_webDiscourse_16_02_2022-20_58_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: 0.6373
- Precision: 0.0024
- Recall: 0.0072
- F1: 0.0036
- Accuracy: 0.6329
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: 32
- eval_batch_size: 32
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 10 | 0.5913 | 0.0 | 0.0 | 0.0 | 0.7023 |
| No log | 2.0 | 20 | 0.5833 | 0.0 | 0.0 | 0.0 | 0.7062 |
| No log | 3.0 | 30 | 0.5717 | 0.0 | 0.0 | 0.0 | 0.7059 |
| No log | 4.0 | 40 | 0.5696 | 0.0 | 0.0 | 0.0 | 0.7008 |
| No log | 5.0 | 50 | 0.5669 | 0.0 | 0.0 | 0.0 | 0.7010 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
