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---
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-v2
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-v2
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: 0.0818
- Rouge1: 90.2445
- Rouge2: 87.8925
- Rougel: 90.3346
- Rougelsum: 90.4247
- Gen Len: 13.7838
## 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: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 20 | 1.6233 | 60.4701 | 43.4599 | 57.215 | 56.9531 | 13.5135 |
| No log | 2.0 | 40 | 0.5503 | 79.3375 | 69.4176 | 75.4377 | 75.2854 | 13.5676 |
| No log | 3.0 | 60 | 0.2397 | 66.4876 | 55.0069 | 62.0571 | 61.9916 | 11.8378 |
| No log | 4.0 | 80 | 0.1486 | 78.7452 | 74.9876 | 78.6615 | 78.6958 | 14.4054 |
| No log | 5.0 | 100 | 0.1200 | 81.8039 | 78.3534 | 82.0292 | 82.0142 | 14.3243 |
| No log | 6.0 | 120 | 0.1040 | 81.8039 | 78.3534 | 82.0292 | 82.0142 | 14.3243 |
| No log | 7.0 | 140 | 0.0931 | 88.2604 | 84.8265 | 88.0824 | 88.3097 | 14.4324 |
| No log | 8.0 | 160 | 0.0857 | 88.2604 | 84.8265 | 88.0824 | 88.3097 | 14.4324 |
| No log | 9.0 | 180 | 0.0834 | 90.2445 | 87.8925 | 90.3346 | 90.4247 | 13.7838 |
| No log | 10.0 | 200 | 0.0818 | 90.2445 | 87.8925 | 90.3346 | 90.4247 | 13.7838 |
### Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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