xlm-r-base-amazon-massive-intent-finetuned-clinc150
This model is a fine-tuned version of cartesinus/xlm-r-base-amazon-massive-intent on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7574
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.1668 | 1.0 | 235 | 4.9327 |
| 4.7891 | 2.0 | 470 | 4.0434 |
| 4.139 | 3.0 | 705 | 3.8096 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3