|
--- |
|
license: apache-2.0 |
|
base_model: Salesforce/codet5-small |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: codet5-small-v8 |
|
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. --> |
|
|
|
# codet5-small-v8 |
|
|
|
This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0620 |
|
- Bleu Score: 0.0004 |
|
- Gen Len: 16.922 |
|
|
|
## Model description |
|
|
|
Trained: |
|
- dataset: chathuranga-jayanath/context-5-predict-token-for-fine-tune-without-comments-from-finmath-portion-1.0-prompt-2 |
|
- prompt: [BUG]...[CONTEXT]...[METHOD]... |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:----------:|:-------:| |
|
| 0.1297 | 1.0 | 5191 | 0.0920 | 0.0004 | 16.8981 | |
|
| 0.0908 | 2.0 | 10382 | 0.0688 | 0.0004 | 16.9204 | |
|
| 0.0787 | 3.0 | 15573 | 0.0620 | 0.0004 | 16.922 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.0.dev0 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
|
|
