distilbert_base_uncased_7_epochs_fine_tune
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1159
- Accuracy: 0.8195
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.2424 | 1.0 | 643 | 0.7572 | 0.7668 |
0.6401 | 2.0 | 1286 | 0.7218 | 0.7885 |
0.4684 | 3.0 | 1929 | 0.8178 | 0.8056 |
0.2184 | 4.0 | 2572 | 0.9780 | 0.8064 |
0.1253 | 5.0 | 3215 | 1.0678 | 0.8125 |
0.0791 | 6.0 | 3858 | 1.0766 | 0.8195 |
0.0292 | 7.0 | 4501 | 1.1159 | 0.8195 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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Model tree for xshubhamx/distilbert_base_uncased_7_epochs_fine_tune
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