| --- |
| 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 |
| |
