tinybert-base-uncased-SRH1K-V1
This model is a fine-tuned version of deepset/tinybert-6l-768d-squad2 on the srh1_k dataset. It achieves the following results on the evaluation set:
- Loss: 1.8842
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 191 | 1.5538 |
| No log | 2.0 | 382 | 1.6815 |
| 1.3023 | 3.0 | 573 | 1.8842 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1