SOMD-train-xlm-v1
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- F1: 0.9963
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | F1 |
---|---|---|---|---|
No log | 1.0 | 1243 | 0.0069 | 0.6471 |
No log | 2.0 | 2486 | 0.0147 | 0.4535 |
No log | 3.0 | 3729 | 0.0030 | 0.8179 |
No log | 4.0 | 4972 | 0.0014 | 0.9087 |
No log | 5.0 | 6215 | 0.0007 | 0.9353 |
No log | 6.0 | 7458 | 0.0004 | 0.9664 |
No log | 7.0 | 8701 | 0.0002 | 0.9867 |
No log | 8.0 | 9944 | 0.0001 | 0.9918 |
No log | 9.0 | 11187 | 0.0001 | 0.9954 |
No log | 10.0 | 12430 | 0.0001 | 0.9963 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
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