metadata
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-ft-v7-iter-f
results: []
codet5-small-ft-v7-iter-f
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: 0.3579
- Rouge1: 65.1905
- Rouge2: 58.0093
- Rougel: 64.6754
- Rougelsum: 64.9444
- Gen Len: 12.7593
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 | 1.2614 | 53.6789 | 41.4991 | 53.6127 | 53.6281 | 11.9259 |
| No log | 2.0 | 40 | 0.5435 | 53.3609 | 42.8943 | 50.5216 | 50.638 | 16.1852 |
| No log | 3.0 | 60 | 0.3948 | 57.8859 | 48.6662 | 57.8364 | 57.7638 | 11.4815 |
| No log | 4.0 | 80 | 0.3579 | 65.1905 | 58.0093 | 64.6754 | 64.9444 | 12.7593 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0