bookcorpus_MLM
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6289
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1925 | 1.0 | 4049 | 1.0941 |
| 1.012 | 2.0 | 8098 | 0.9231 |
| 0.9068 | 3.0 | 12147 | 0.8259 |
| 0.8381 | 4.0 | 16196 | 0.7710 |
| 0.8017 | 5.0 | 20245 | 0.7348 |
| 0.7567 | 6.0 | 24294 | 0.6943 |
| 0.7331 | 7.0 | 28343 | 0.6644 |
| 0.7032 | 8.0 | 32392 | 0.6530 |
| 0.6871 | 9.0 | 36441 | 0.6364 |
| 0.6761 | 10.0 | 40490 | 0.6293 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Base model
google-bert/bert-base-cased