update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Homophobia-Transphobia-v2-mBERT-EDA
+  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. -->
+
+# Homophobia-Transphobia-v2-mBERT-EDA
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5401
+- Accuracy: 0.9317
+- F1: 0.4498
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.1699        | 1.0   | 189  | 0.4125          | 0.9229   | 0.4634 |
+| 0.0387        | 2.0   | 378  | 0.4658          | 0.9229   | 0.3689 |
+| 0.0148        | 3.0   | 567  | 0.5250          | 0.9355   | 0.4376 |
+| 0.0005        | 4.0   | 756  | 0.5336          | 0.9317   | 0.4531 |
+| 0.0016        | 5.0   | 945  | 0.5401          | 0.9317   | 0.4498 |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.4
+- Tokenizers 0.11.6