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MLMTokens_TAM-10epoch-MLMMul
This model is a fine-tuned version of xlm-mlm-100-1280 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9759
- Accuracy: 0.6949
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 18 | 1.7429 | 0.7288 |
| No log | 2.0 | 36 | 1.2344 | 0.1017 |
| No log | 3.0 | 54 | 1.5760 | 0.0847 |
| No log | 4.0 | 72 | 1.7159 | 0.6441 |
| No log | 5.0 | 90 | 1.9759 | 0.6949 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1
