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camembert-base-finetuned-ft750_reg2
This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6449
- Mse: 0.6449
- Mae: 0.6171
- R2: 0.3929
- Accuracy: 0.504
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.6283 | 1.0 | 750 | 0.6074 | 0.6074 | 0.6086 | 0.4282 | 0.4887 |
| 0.5007 | 2.0 | 1500 | 0.6449 | 0.6449 | 0.6171 | 0.3929 | 0.504 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
