update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: multilingual-e5-large-finetuned-IberAuTexTification2024-7030-task2-v2
+  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. -->
+
+# multilingual-e5-large-finetuned-IberAuTexTification2024-7030-task2-v2
+
+This model is a fine-tuned version of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5374
+- F1: 0.8460
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.5894        | 1.0   | 2571  | 0.6887          | 0.7453 |
+| 0.3772        | 2.0   | 5142  | 0.5798          | 0.8074 |
+| 0.2181        | 3.0   | 7713  | 0.5374          | 0.8460 |
+| 0.1032        | 4.0   | 10284 | 0.8335          | 0.8390 |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.13.3