update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: multibertfinetuned1107
+  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. -->
+
+# multibertfinetuned1107
+
+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: 0.5260
+- Precision: 0.5933
+- Recall: 0.4839
+- F1: 0.5330
+- Accuracy: 0.8502
+
+## 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: 5e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 145  | 0.5260          | 0.5933    | 0.4839 | 0.5330 | 0.8502   |
+| No log        | 2.0   | 290  | 0.5357          | 0.6099    | 0.5415 | 0.5736 | 0.8604   |
+| No log        | 3.0   | 435  | 0.5476          | 0.6279    | 0.5795 | 0.6027 | 0.8715   |
+| 0.365         | 4.0   | 580  | 0.5861          | 0.6454    | 0.6107 | 0.6276 | 0.8827   |
+| 0.365         | 5.0   | 725  | 0.6235          | 0.6543    | 0.6185 | 0.6359 | 0.8804   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3