update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: edos-2023-baseline-bert-base-multilingual-uncased-label_sexist
+  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. -->
+
+# edos-2023-baseline-bert-base-multilingual-uncased-label_sexist
+
+This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3753
+- F1: 0.7713
+
+## 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: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4679        | 1.14  | 400  | 0.4074          | 0.7437 |
+| 0.3421        | 2.29  | 800  | 0.3773          | 0.7755 |
+| 0.3142        | 3.43  | 1200 | 0.3664          | 0.7747 |
+| 0.2786        | 4.57  | 1600 | 0.3753          | 0.7713 |
+| 0.275         | 5.71  | 2000 | 0.3753          | 0.7713 |
+| 0.2785        | 6.86  | 2400 | 0.3753          | 0.7713 |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2