small-mlm-wikitext-from-scratch-custom-tokenizer-target-conll2003
This model is a fine-tuned version of muhtasham/small-mlm-wikitext-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3135
- Precision: 0.5394
- Recall: 0.6932
- F1: 0.6067
- Accuracy: 0.9205
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 |
---|---|---|---|---|---|---|---|
0.6115 | 1.14 | 500 | 0.4596 | 0.2964 | 0.4574 | 0.3597 | 0.8598 |
0.3787 | 2.28 | 1000 | 0.3634 | 0.3690 | 0.5017 | 0.4252 | 0.8889 |
0.293 | 3.42 | 1500 | 0.3407 | 0.3956 | 0.5751 | 0.4688 | 0.8944 |
0.238 | 4.56 | 2000 | 0.3159 | 0.4337 | 0.5774 | 0.4953 | 0.9034 |
0.1975 | 5.69 | 2500 | 0.3061 | 0.4729 | 0.6033 | 0.5302 | 0.9104 |
0.1655 | 6.83 | 3000 | 0.3045 | 0.4851 | 0.6427 | 0.5529 | 0.9128 |
0.1392 | 7.97 | 3500 | 0.2934 | 0.5052 | 0.6508 | 0.5688 | 0.9170 |
0.1127 | 9.11 | 4000 | 0.3047 | 0.5228 | 0.6781 | 0.5904 | 0.9184 |
0.0945 | 10.25 | 4500 | 0.3047 | 0.5471 | 0.6712 | 0.6028 | 0.9234 |
0.0802 | 11.39 | 5000 | 0.3135 | 0.5394 | 0.6932 | 0.6067 | 0.9205 |
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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