|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- rouge |
|
|
model-index: |
|
|
- name: t5-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. --> |
|
|
|
|
|
# t5-small-codesearchnet-python3 |
|
|
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.1308 |
|
|
- Rouge1: 0.0046 |
|
|
- Rouge2: 0.0044 |
|
|
- Avg Length: 0.317 |
|
|
|
|
|
## 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 | 8.0395 | 0.1733 | 0.0997 | 18.4264 | |
|
|
| No log | 2.0 | 78 | 0.3933 | 0.0 | 0.0 | 0.0004 | |
|
|
| No log | 3.0 | 117 | 0.2376 | 0.0 | 0.0 | 0.0 | |
|
|
| No log | 3.99 | 156 | 0.1693 | 0.0 | 0.0 | 0.0 | |
|
|
| No log | 4.99 | 195 | 0.1308 | 0.0046 | 0.0044 | 0.317 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.28.1 |
|
|
- Pytorch 2.0.0+cu118 |
|
|
- Datasets 2.12.0 |
|
|
- Tokenizers 0.13.3 |
|
|
|
