metadata
license: apache-2.0
base_model: ayeshgk/codet5-small-ft-v8-cpatd
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-ft-v8-cpatd-ft-v8-cpat_dv5
results: []
codet5-small-ft-v8-cpatd-ft-v8-cpat_dv5
This model is a fine-tuned version of ayeshgk/codet5-small-ft-v8-cpatd on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0113
- Rouge1: 97.6279
- Rouge2: 97.3651
- Rougel: 97.623
- Rougelsum: 97.7119
- Gen Len: 14.5
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 20 | 0.0490 | 97.6279 | 97.3651 | 97.623 | 97.7119 | 14.4429 |
| No log | 2.0 | 40 | 0.0207 | 97.6279 | 97.3651 | 97.623 | 97.7119 | 14.5 |
| No log | 3.0 | 60 | 0.0132 | 97.6279 | 97.3651 | 97.623 | 97.7119 | 14.5 |
| No log | 4.0 | 80 | 0.0113 | 97.6279 | 97.3651 | 97.623 | 97.7119 | 14.5 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0