tiny-mlm-tweet-target-tweet
This model is a fine-tuned version of muhtasham/tiny-mlm-tweet on the tweet_eval dataset. It achieves the following results on the evaluation set:
- Loss: 1.2643
- Accuracy: 0.7166
- F1: 0.7163
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
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.1435 | 4.9 | 500 | 0.9732 | 0.6604 | 0.6283 |
| 0.7389 | 9.8 | 1000 | 0.8571 | 0.6898 | 0.6780 |
| 0.5057 | 14.71 | 1500 | 0.8324 | 0.6979 | 0.6929 |
| 0.3466 | 19.61 | 2000 | 0.9128 | 0.6925 | 0.6945 |
| 0.2395 | 24.51 | 2500 | 0.9487 | 0.7166 | 0.7192 |
| 0.1649 | 29.41 | 3000 | 1.0338 | 0.7166 | 0.7172 |
| 0.119 | 34.31 | 3500 | 1.1793 | 0.7112 | 0.7144 |
| 0.0882 | 39.22 | 4000 | 1.2643 | 0.7166 | 0.7163 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2