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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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model-index:
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- name: DisTEMIST_fine_tuned_sentence
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# DisTEMIST_fine_tuned_sentence
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This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-es) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2164
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- Precision: 0.6069
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- Recall: 0.6401
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- F1: 0.6231
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=2.6e-09
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 73
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|
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| 0.1166 | 1.0 | 1099 | 0.1152 | 0.5214 | 0.6433 | 0.5760 |
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| 0.0718 | 2.0 | 2198 | 0.1096 | 0.6015 | 0.6297 | 0.6153 |
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| 0.0438 | 3.0 | 3297 | 0.1517 | 0.6573 | 0.5895 | 0.6215 |
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| 0.0293 | 4.0 | 4396 | 0.1496 | 0.6212 | 0.6198 | 0.6205 |
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| 0.0179 | 5.0 | 5495 | 0.1665 | 0.5670 | 0.6505 | 0.6059 |
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| 0.0119 | 6.0 | 6594 | 0.1602 | 0.6035 | 0.6379 | 0.6202 |
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| 0.0078 | 7.0 | 7693 | 0.1844 | 0.6008 | 0.6347 | 0.6173 |
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| 0.0041 | 8.0 | 8792 | 0.2019 | 0.6006 | 0.6288 | 0.6144 |
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| 0.0026 | 9.0 | 9891 | 0.2075 | 0.6015 | 0.6270 | 0.6140 |
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| 0.0014 | 10.0 | 10990 | 0.2164 | 0.6069 | 0.6401 | 0.6231 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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