distilbert-base-uncased-finetuned-transcripts-calls
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2980
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 33 | 1.3659 |
No log | 2.0 | 66 | 0.9156 |
No log | 3.0 | 99 | 0.7727 |
No log | 4.0 | 132 | 0.6658 |
No log | 5.0 | 165 | 0.5225 |
No log | 6.0 | 198 | 0.3826 |
No log | 7.0 | 231 | 0.3527 |
No log | 8.0 | 264 | 0.3183 |
No log | 9.0 | 297 | 0.3090 |
No log | 10.0 | 330 | 0.3168 |
No log | 11.0 | 363 | 0.2936 |
No log | 12.0 | 396 | 0.2980 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2
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