fine_tuned_ancient_semitic_BERT
This model is a fine-tuned version of mehdie/ancient_semitic_bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3771
- F1: 0.5652
- F5: 0.5748
- Precision: 0.5417
- Recall: 0.5909
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | F1 | F5 | Precision | Recall |
---|---|---|---|---|---|---|---|
No log | 1.0 | 17 | 0.3386 | 0.0 | 0.0 | 0.0 | 0.0 |
No log | 2.0 | 34 | 0.3252 | 0.0 | 0.0 | 0.0 | 0.0 |
No log | 3.0 | 51 | 0.3188 | 0.0 | 0.0 | 0.0 | 0.0 |
No log | 4.0 | 68 | 0.3410 | 0.0 | 0.0 | 0.0 | 0.0 |
No log | 5.0 | 85 | 0.3069 | 0.1379 | 0.1080 | 0.5 | 0.08 |
No log | 6.0 | 102 | 0.3209 | 0.1379 | 0.1080 | 0.5 | 0.08 |
No log | 7.0 | 119 | 0.3432 | 0.2222 | 0.2132 | 0.25 | 0.2 |
No log | 8.0 | 136 | 0.3606 | 0.2727 | 0.2592 | 0.3158 | 0.24 |
No log | 9.0 | 153 | 0.3319 | 0.2927 | 0.2700 | 0.375 | 0.24 |
No log | 10.0 | 170 | 0.3741 | 0.4074 | 0.4193 | 0.3793 | 0.44 |
No log | 11.0 | 187 | 0.3008 | 0.3784 | 0.3336 | 0.5833 | 0.28 |
No log | 12.0 | 204 | 0.3237 | 0.4231 | 0.4294 | 0.4074 | 0.44 |
No log | 13.0 | 221 | 0.2848 | 0.5 | 0.4752 | 0.5789 | 0.44 |
No log | 14.0 | 238 | 0.3058 | 0.52 | 0.52 | 0.52 | 0.52 |
No log | 15.0 | 255 | 0.2912 | 0.5417 | 0.5332 | 0.5652 | 0.52 |
No log | 16.0 | 272 | 0.3005 | 0.4681 | 0.4569 | 0.5 | 0.44 |
No log | 17.0 | 289 | 0.3122 | 0.5556 | 0.5717 | 0.5172 | 0.6 |
No log | 18.0 | 306 | 0.3670 | 0.5667 | 0.6052 | 0.4857 | 0.68 |
No log | 19.0 | 323 | 0.2818 | 0.5926 | 0.6098 | 0.5517 | 0.64 |
No log | 20.0 | 340 | 0.3012 | 0.5882 | 0.5927 | 0.5769 | 0.6 |
No log | 21.0 | 357 | 0.3288 | 0.6154 | 0.6246 | 0.5926 | 0.64 |
No log | 22.0 | 374 | 0.3251 | 0.6250 | 0.6152 | 0.6522 | 0.6 |
No log | 23.0 | 391 | 0.3145 | 0.6250 | 0.6152 | 0.6522 | 0.6 |
No log | 24.0 | 408 | 0.3128 | 0.68 | 0.68 | 0.68 | 0.68 |
No log | 25.0 | 425 | 0.3190 | 0.6538 | 0.6636 | 0.6296 | 0.68 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.17.1
- Tokenizers 0.15.2
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