---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-codesearchnet-python3
  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. -->

# mt5-small-codesearchnet-python3

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 13.1295
- Rouge1: 0.0367
- Rouge2: 0.0116
- Avg Length: 17.0986

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Avg Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:----------:|
| No log        | 1.0   | 39   | 49.9618         | 0.0214 | 0.0051 | 4.6036     |
| No log        | 2.0   | 78   | 43.5835         | 0.0341 | 0.0112 | 6.5946     |
| No log        | 3.0   | 117  | 33.6272         | 0.0633 | 0.0288 | 11.0158    |
| No log        | 3.99  | 156  | 23.0445         | 0.0899 | 0.0444 | 13.4518    |
| No log        | 4.99  | 195  | 13.1295         | 0.0367 | 0.0116 | 17.0986    |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3