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: 1.0898
- Accuracy: 0.6981
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 | 16 | 1.7050 | 0.1887 |
| No log | 2.0 | 32 | 2.0576 | 0.4528 |
| No log | 3.0 | 48 | 1.4179 | 0.6981 |
| No log | 4.0 | 64 | 1.3884 | 0.1321 |
| No log | 5.0 | 80 | 1.0898 | 0.6981 |
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/TAM-10epoch-MLMMul
Base model
FacebookAI/xlm-mlm-100-1280