metadata
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
model-index:
- name: codet5-small-v11
results: []
codet5-small-v11
This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1410
- Bleu Score: 0.0004
- Gen Len: 13.1271
Model description
Trained:
- on: chathuranga-jayanath/formatted-selfapr-train-data
- prompt: selfapr train data format -> [BUG]...[CONTEXT]...[CLASS]...[ERROR]
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: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
|---|---|---|---|---|---|
| 0.2246 | 1.0 | 10656 | 0.1778 | 0.0004 | 13.1185 |
| 0.1915 | 2.0 | 21312 | 0.1489 | 0.0004 | 13.1311 |
| 0.1623 | 3.0 | 31968 | 0.1410 | 0.0004 | 13.1271 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1