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small-mlm-tweet_eval-from-scratch-target-rotten_tomatoes
This model is a fine-tuned version of muhtasham/small-mlm-tweet_eval-from-scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6199
- Accuracy: 0.7280
- F1: 0.7249
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 |
|---|---|---|---|---|---|
| 0.6349 | 1.87 | 500 | 0.5624 | 0.7158 | 0.7139 |
| 0.3667 | 3.75 | 1000 | 0.6345 | 0.7373 | 0.7341 |
| 0.1996 | 5.62 | 1500 | 0.8402 | 0.7458 | 0.7457 |
| 0.1479 | 7.49 | 2000 | 1.1490 | 0.7326 | 0.7311 |
| 0.0958 | 9.36 | 2500 | 1.2596 | 0.7355 | 0.7342 |
| 0.0671 | 11.24 | 3000 | 1.6199 | 0.7280 | 0.7249 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
