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small-mlm-conll2003-from-scratch-custom-tokenizer-target-conll2003
This model is a fine-tuned version of muhtasham/small-mlm-conll2003-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3448
- Precision: 0.5713
- Recall: 0.6853
- F1: 0.6231
- Accuracy: 0.9188
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 |
---|---|---|---|---|---|---|---|
0.5039 | 1.14 | 500 | 0.4083 | 0.4419 | 0.4899 | 0.4647 | 0.8780 |
0.3033 | 2.28 | 1000 | 0.3461 | 0.4899 | 0.5717 | 0.5276 | 0.8962 |
0.2307 | 3.42 | 1500 | 0.3217 | 0.4619 | 0.6373 | 0.5356 | 0.9006 |
0.182 | 4.56 | 2000 | 0.3198 | 0.4844 | 0.6530 | 0.5562 | 0.9045 |
0.1502 | 5.69 | 2500 | 0.3146 | 0.5239 | 0.6528 | 0.5813 | 0.9104 |
0.1265 | 6.83 | 3000 | 0.3216 | 0.4999 | 0.6755 | 0.5746 | 0.9071 |
0.1042 | 7.97 | 3500 | 0.3151 | 0.5320 | 0.6666 | 0.5918 | 0.9138 |
0.0873 | 9.11 | 4000 | 0.3378 | 0.5443 | 0.6839 | 0.6062 | 0.9139 |
0.0723 | 10.25 | 4500 | 0.3487 | 0.5488 | 0.6781 | 0.6066 | 0.9140 |
0.0636 | 11.39 | 5000 | 0.3448 | 0.5713 | 0.6853 | 0.6231 | 0.9188 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2