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sa_bert_12_layer_modified_complete_training_24
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.7648
- Accuracy: 0.1722
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
6.5933 | 0.05 | 10000 | 6.5711 | 0.1226 |
6.1523 | 0.11 | 20000 | 6.3425 | 0.1396 |
6.1308 | 0.16 | 30000 | 6.2468 | 0.1444 |
6.2297 | 0.22 | 40000 | 6.1895 | 0.1468 |
6.1484 | 0.27 | 50000 | 6.1483 | 0.1487 |
6.0591 | 0.33 | 60000 | 6.1205 | 0.1492 |
6.0199 | 0.38 | 70000 | 6.0862 | 0.1501 |
5.8666 | 0.44 | 80000 | 5.8875 | 0.1600 |
5.9153 | 0.49 | 90000 | 5.7648 | 0.1722 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.1
- Tokenizers 0.13.3