update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: roberta-large-finetuned-ours-DS
+  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. -->
+
+# roberta-large-finetuned-ours-DS
+
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8358
+- Accuracy: 0.71
+- Precision: 0.6611
+- Recall: 0.6691
+- F1: 0.6570
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 43
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.0561        | 0.99  | 99   | 0.8773          | 0.615    | 0.4054    | 0.5584 | 0.4591 |
+| 0.762         | 1.98  | 198  | 0.6514          | 0.715    | 0.6735    | 0.6672 | 0.6588 |
+| 0.5661        | 2.97  | 297  | 0.6806          | 0.71     | 0.6764    | 0.6608 | 0.6435 |
+| 0.3699        | 3.96  | 396  | 0.8358          | 0.71     | 0.6611    | 0.6691 | 0.6570 |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.10.1+cu111
+- Datasets 2.3.2
+- Tokenizers 0.12.1