metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: CodeBertaCLM
results: []
CodeBertaCLM
This model is a fine-tuned version of microsoft/codebert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 14.6482
- Accuracy: 0.0
- F1: 0.0
- Bleu4: 0.0592
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Bleu4 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 16.4835 | 0.0 | 0.0 | 0.1118 |
| No log | 2.0 | 2 | 15.8217 | 0.0 | 0.0 | 0.0940 |
| No log | 3.0 | 3 | 15.2096 | 0.0 | 0.0 | 0.0648 |
| No log | 4.0 | 4 | 14.6482 | 0.0 | 0.0 | 0.0592 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.7.1
- Tokenizers 0.13.2