MAL-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: 1.2283
- Accuracy: 0.2586
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 | 17 | 2.2916 | 0.4483 |
| No log | 2.0 | 34 | 1.4394 | 0.6897 |
| No log | 3.0 | 51 | 1.1738 | 0.2759 |
| No log | 4.0 | 68 | 1.1875 | 0.2414 |
| No log | 5.0 | 85 | 1.2283 | 0.2586 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for Rahul-G/MAL-10epoch-MLMMul
Base model
FacebookAI/xlm-mlm-100-1280