twitter-roberta-base-sentiment-latest_02122024T220846
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: 0.8697
- F1: 0.6537
- 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 | 318 | 0.9611 | 0.5755 | 0.0000 |
| 1.1025 | 2.0 | 637 | 0.8697 | 0.6537 | 0.0000 |
| 1.1025 | 2.9984 | 955 | 0.9563 | 0.6590 | 0.0000 |
| 0.6611 | 4.0 | 1274 | 1.0204 | 0.6797 | 0.0000 |
| 0.4077 | 4.9922 | 1590 | 1.0301 | 0.6829 | 0.0 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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