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TinyBERT_L-4_H-312_v2-finetuned-wikitext103
This model is a fine-tuned version of nreimers/TinyBERT_L-4_H-312_v2 on the wikitext dataset. It achieves the following results on the evaluation set:
- Loss: 6.4638
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.0604 | 1.0 | 3125 | 6.6745 |
| 6.7122 | 2.0 | 6250 | 6.5061 |
| 6.6289 | 3.0 | 9375 | 6.4638 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.8.1
- Datasets 1.11.0
- Tokenizers 0.10.3
