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tiny-mlm-tweet_eval-from-scratch-target-rotten_tomatoes
This model is a fine-tuned version of muhtasham/tiny-mlm-tweet_eval-from-scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0877
- Accuracy: 0.7514
- F1: 0.7514
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 |
|---|---|---|---|---|---|
| 0.6935 | 1.87 | 500 | 0.6934 | 0.5 | 0.3333 |
| 0.6919 | 3.75 | 1000 | 0.6785 | 0.5525 | 0.4670 |
| 0.4841 | 5.62 | 1500 | 0.5754 | 0.7317 | 0.7316 |
| 0.3008 | 7.49 | 2000 | 0.6330 | 0.7477 | 0.7477 |
| 0.2209 | 9.36 | 2500 | 0.6851 | 0.7505 | 0.7505 |
| 0.1747 | 11.24 | 3000 | 0.8023 | 0.7439 | 0.7434 |
| 0.1488 | 13.11 | 3500 | 0.9074 | 0.7495 | 0.7495 |
| 0.1274 | 14.98 | 4000 | 0.9746 | 0.7580 | 0.7577 |
| 0.11 | 16.85 | 4500 | 1.0522 | 0.7448 | 0.7445 |
| 0.0947 | 18.73 | 5000 | 1.0877 | 0.7514 | 0.7514 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
