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tiny-mlm-tweet-target-rotten_tomatoes
This model is a fine-tuned version of muhtasham/tiny-mlm-tweet on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7100
- Accuracy: 0.7702
- F1: 0.7700
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6244 | 1.87 | 500 | 0.5415 | 0.7261 | 0.7259 |
| 0.4923 | 3.75 | 1000 | 0.5107 | 0.7514 | 0.7507 |
| 0.4156 | 5.62 | 1500 | 0.5107 | 0.7702 | 0.7699 |
| 0.3497 | 7.49 | 2000 | 0.5229 | 0.7692 | 0.7692 |
| 0.2947 | 9.36 | 2500 | 0.5779 | 0.7711 | 0.7711 |
| 0.2497 | 11.24 | 3000 | 0.6291 | 0.7608 | 0.7604 |
| 0.2062 | 13.11 | 3500 | 0.6866 | 0.7674 | 0.7670 |
| 0.1746 | 14.98 | 4000 | 0.7100 | 0.7702 | 0.7700 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
