distilseq-ask-or-send
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: 0.2013
- Accuracy: 1.0
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 10 | 0.4569 | 1.0 |
| No log | 2.0 | 20 | 0.2612 | 1.0 |
| No log | 3.0 | 30 | 0.2013 | 1.0 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cpu
- Datasets 4.2.0
- Tokenizers 0.22.0
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Model tree for csalhab/distilseq-ask-or-send
Base model
distilbert/distilbert-base-uncased