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tiny-mlm-conll2003-from-scratch-custom-tokenizer-target-rotten_tomatoes
This model is a fine-tuned version of muhtasham/tiny-mlm-conll2003-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7896
- Accuracy: 0.7505
- F1: 0.7504
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 | 0.6930 | 0.5 | 0.3333 |
| 0.6714 | 3.75 | 1000 | 0.5756 | 0.7036 | 0.7035 |
| 0.4357 | 5.62 | 1500 | 0.5846 | 0.7355 | 0.7338 |
| 0.3473 | 7.49 | 2000 | 0.6248 | 0.7458 | 0.7449 |
| 0.2935 | 9.36 | 2500 | 0.6486 | 0.7514 | 0.7514 |
| 0.2545 | 11.24 | 3000 | 0.6966 | 0.7486 | 0.7486 |
| 0.229 | 13.11 | 3500 | 0.7537 | 0.7420 | 0.7419 |
| 0.199 | 14.98 | 4000 | 0.7896 | 0.7505 | 0.7504 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
