rap_phase2_MODEL2_15march_15i_v2
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: 0.0055
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: 8
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4659 | 1.0 | 1053 | 0.4866 |
0.3359 | 2.0 | 2106 | 0.0128 |
0.032 | 3.0 | 3159 | 0.0035 |
0.0243 | 4.0 | 4212 | 0.0001 |
0.0303 | 5.0 | 5265 | 0.0000 |
0.0065 | 6.0 | 6318 | 0.0096 |
0.006 | 7.0 | 7371 | 0.0003 |
0.0016 | 8.0 | 8424 | 0.0055 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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