Model save

README.md

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+---
+library_name: transformers
+base_model: bigbio/bigbio-mtl
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: segment-classifier-spanish
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# segment-classifier-spanish
+
+This model is a fine-tuned version of [bigbio/bigbio-mtl](https://huggingface.co/bigbio/bigbio-mtl) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7039
+- Accuracy: 0.8283
+- F1: 0.8313
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 1.1474        | 1.0   | 660  | 0.7534          | 0.7743   | 0.7605 |
+| 0.7315        | 2.0   | 1320 | 0.6938          | 0.7982   | 0.7874 |
+| 0.5756        | 3.0   | 1980 | 0.6653          | 0.8168   | 0.8158 |
+| 0.384         | 4.0   | 2640 | 0.7039          | 0.8283   | 0.8313 |
+
+
+### Framework versions
+
+- Transformers 4.50.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1