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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: t5-small-codesearchnet-multilang-python
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. -->
# t5-small-codesearchnet-multilang-python
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0682
- Bleu: 0.0401
- Rouge1: 0.6333
- Rouge2: 0.6147
- Avg Length: 16.9514
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Avg Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:----------:|
| No log | 1.0 | 375 | 0.0717 | 0.0407 | 0.6244 | 0.6063 | 17.046 |
| 1.6287 | 2.0 | 750 | 0.0589 | 0.041 | 0.6321 | 0.6136 | 16.9924 |
| 0.0592 | 3.0 | 1125 | 0.0551 | 0.0402 | 0.6334 | 0.6152 | 16.971 |
| 0.0511 | 4.0 | 1500 | 0.0542 | 0.0402 | 0.6336 | 0.6155 | 16.9718 |
| 0.0511 | 5.0 | 1875 | 0.0529 | 0.0401 | 0.6343 | 0.6161 | 16.961 |
| 0.0441 | 6.0 | 2250 | 0.0531 | 0.0402 | 0.6341 | 0.6158 | 16.9626 |
| 0.0399 | 7.0 | 2625 | 0.0521 | 0.0402 | 0.6337 | 0.6154 | 16.97 |
| 0.0351 | 8.0 | 3000 | 0.0547 | 0.0401 | 0.6341 | 0.6159 | 16.964 |
| 0.0351 | 9.0 | 3375 | 0.0545 | 0.0402 | 0.635 | 0.6167 | 16.962 |
| 0.0301 | 10.0 | 3750 | 0.0557 | 0.0402 | 0.6342 | 0.6159 | 16.9646 |
| 0.027 | 11.0 | 4125 | 0.0569 | 0.0402 | 0.6342 | 0.6157 | 16.9622 |
| 0.0239 | 12.0 | 4500 | 0.0606 | 0.0401 | 0.6342 | 0.6158 | 16.9564 |
| 0.0239 | 13.0 | 4875 | 0.0616 | 0.0401 | 0.6343 | 0.6163 | 16.963 |
| 0.02 | 14.0 | 5250 | 0.0672 | 0.0401 | 0.6336 | 0.6154 | 16.9648 |
| 0.0185 | 15.0 | 5625 | 0.0682 | 0.0401 | 0.6333 | 0.6147 | 16.9514 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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