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DisTEMIST_fine_tuned_sentence
This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2164
- Precision: 0.6069
- Recall: 0.6401
- F1: 0.6231
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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=2.6e-09
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 73
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
---|---|---|---|---|---|---|
0.1166 | 1.0 | 1099 | 0.1152 | 0.5214 | 0.6433 | 0.5760 |
0.0718 | 2.0 | 2198 | 0.1096 | 0.6015 | 0.6297 | 0.6153 |
0.0438 | 3.0 | 3297 | 0.1517 | 0.6573 | 0.5895 | 0.6215 |
0.0293 | 4.0 | 4396 | 0.1496 | 0.6212 | 0.6198 | 0.6205 |
0.0179 | 5.0 | 5495 | 0.1665 | 0.5670 | 0.6505 | 0.6059 |
0.0119 | 6.0 | 6594 | 0.1602 | 0.6035 | 0.6379 | 0.6202 |
0.0078 | 7.0 | 7693 | 0.1844 | 0.6008 | 0.6347 | 0.6173 |
0.0041 | 8.0 | 8792 | 0.2019 | 0.6006 | 0.6288 | 0.6144 |
0.0026 | 9.0 | 9891 | 0.2075 | 0.6015 | 0.6270 | 0.6140 |
0.0014 | 10.0 | 10990 | 0.2164 | 0.6069 | 0.6401 | 0.6231 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2