update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: CodeBertaCLM
+  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. -->
+
+# CodeBertaCLM
+
+This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0401
+- Accuracy: 0.0151
+- F1: 0.0151
+- Bleu4: 0.0545
+
+## 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: 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 | Accuracy | F1     | Bleu4  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
+| 2.7267        | 1.0   | 1373 | 1.5727          | 0.0161   | 0.0161 | 0.0423 |
+| 1.4983        | 2.0   | 2746 | 1.2421          | 0.0170   | 0.0170 | 0.0674 |
+| 1.2858        | 3.0   | 4119 | 1.1225          | 0.0154   | 0.0154 | 0.0434 |
+| 1.2268        | 4.0   | 5492 | 1.0612          | 0.0153   | 0.0153 | 0.0646 |
+| 1.1658        | 5.0   | 6865 | 1.0401          | 0.0151   | 0.0151 | 0.0545 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2