Distilbert-finetuned-SRHV2
This model is a fine-tuned version of distilbert/distilbert-base-uncased-distilled-squad on the srhv2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.8417
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: 3e-05
- train_batch_size: 6
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 115 | 1.7873 |
No log | 2.0 | 230 | 1.8417 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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