output
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1962
- Memory Allocated (gb): 54.03
- Max Memory Allocated (gb): 54.47
- Total Memory Available (gb): 94.62
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: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Allocated (gb) | Memory Allocated (gb) | Memory Available (gb) |
|---|---|---|---|---|---|---|
| 0.2846 | 1.0 | 196 | 0.1962 | 54.03 | 54.47 | 94.62 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1a0+git4989238
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google-bert/bert-base-uncased