twitter-roberta-base-sentiment-latest_30122024T151113
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8551
- F1: 0.6769
- Learning Rate: 0.0
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Rate |
|---|---|---|---|---|---|
| No log | 0.9984 | 320 | 0.9088 | 0.6341 | 0.0000 |
| 1.1263 | 2.0 | 641 | 0.8551 | 0.6769 | 0.0000 |
| 1.1263 | 2.9984 | 961 | 0.9019 | 0.6725 | 0.0000 |
| 0.6647 | 4.0 | 1282 | 0.9643 | 0.6890 | 0.0000 |
| 0.4244 | 4.9922 | 1600 | 0.9707 | 0.6943 | 0.0 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.20.3
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