twitter-roberta-base-sentiment-latest_03012025T160109
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: 0.9230
- F1: 0.5935
- Learning Rate: 1e-07
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Rate |
|---|---|---|---|---|---|
| No log | 1.0 | 323 | 0.9230 | 0.5935 | 1e-07 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.20.3
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