small-mlm-imdb-from-scratch-target-conll2003
This model is a fine-tuned version of muhtasham/small-mlm-imdb-from-scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3139
- Precision: 0.5483
- Recall: 0.7058
- F1: 0.6172
- Accuracy: 0.9221
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 | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.5923 | 1.14 | 500 | 0.4204 | 0.3729 | 0.4786 | 0.4192 | 0.8745 |
0.3516 | 2.28 | 1000 | 0.3429 | 0.4295 | 0.5677 | 0.4890 | 0.8961 |
0.2674 | 3.42 | 1500 | 0.3151 | 0.4455 | 0.6234 | 0.5196 | 0.9042 |
0.2144 | 4.56 | 2000 | 0.3141 | 0.4764 | 0.6176 | 0.5379 | 0.9088 |
0.1759 | 5.69 | 2500 | 0.3065 | 0.5075 | 0.6503 | 0.5701 | 0.9134 |
0.1493 | 6.83 | 3000 | 0.2908 | 0.5103 | 0.6737 | 0.5807 | 0.9160 |
0.1234 | 7.97 | 3500 | 0.2949 | 0.5192 | 0.6770 | 0.5877 | 0.9189 |
0.1022 | 9.11 | 4000 | 0.3015 | 0.5398 | 0.6865 | 0.6044 | 0.9207 |
0.0859 | 10.25 | 4500 | 0.3145 | 0.5227 | 0.7025 | 0.5994 | 0.9195 |
0.0735 | 11.39 | 5000 | 0.3139 | 0.5483 | 0.7058 | 0.6172 | 0.9221 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
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