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_vector
+  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_vector
+
+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: 1.0875
+- F1: 0.3778
+
+## 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: 46
+- eval_batch_size: 46
+- 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.0532        | 1.69  | 100  | 1.7911          | 0.1191 |
+| 1.6923        | 3.39  | 200  | 1.4958          | 0.2426 |
+| 1.48          | 5.08  | 300  | 1.2994          | 0.2989 |
+| 1.3375        | 6.78  | 400  | 1.1620          | 0.3514 |
+| 1.2391        | 8.47  | 500  | 1.0875          | 0.3778 |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2