twitter-xlm-roberta-base-sentiment-finetuned-marc-tn-v1.1
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5940
- Mae: 0.2556
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: 13
- eval_batch_size: 13
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mae |
|---|---|---|---|---|
| 0.4596 | 1.0 | 3203 | 0.6163 | 0.3195 |
| 0.3846 | 2.0 | 6406 | 0.5464 | 0.2669 |
| 0.3193 | 3.0 | 9609 | 0.5940 | 0.2556 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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