metadata
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-v3
results: []
codet5-small-v3
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: 0.1896
- Rouge1: 75.8334
- Rouge2: 66.86
- Rougel: 75.2774
- Rougelsum: 75.2871
- Gen Len: 17.1755
Model description
Trained,
- dataset: chathuranga-jayanath/context-5-predict-token-for-fine-tune-without-comments-from-finmath
- epochs: 3
- metric: rouge
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0947 | 1.0 | 9734 | 0.1817 | 75.816 | 66.5223 | 75.2217 | 75.2268 | 17.1902 |
| 0.0622 | 2.0 | 19468 | 0.1886 | 75.8598 | 66.7948 | 75.3022 | 75.3025 | 17.1922 |
| 0.0572 | 3.0 | 29202 | 0.1896 | 75.8334 | 66.86 | 75.2774 | 75.2871 | 17.1755 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1