rap_phase2_MODEL2_15march_15i
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2467
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.512 | 1.0 | 1755 | 0.2732 |
0.2083 | 2.0 | 3510 | 0.0702 |
0.1104 | 3.0 | 5265 | 0.0684 |
2.0765 | 4.0 | 7020 | 4.2790 |
0.7996 | 5.0 | 8775 | 4.2754 |
0.2247 | 6.0 | 10530 | 4.2459 |
0.0674 | 7.0 | 12285 | 4.2483 |
0.014 | 8.0 | 14040 | 4.2455 |
0.0347 | 9.0 | 15795 | 4.2469 |
0.0429 | 10.0 | 17550 | 4.2467 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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