| --- |
| license: bsd-3-clause |
| base_model: Salesforce/codet5-large |
| tags: |
| - generated_from_trainer |
| datasets: |
| - arrow |
| library_name: peft |
| model-index: |
| - name: codet5-large-2024-11-27_20-00 |
| 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-large-2024-11-27_20-00 |
| |
| This model is a fine-tuned version of [Salesforce/codet5-large](https://huggingface.co/Salesforce/codet5-large) on the arrow dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2856 |
| - Gen Len: 18.9997 |
| - Bertscorer-p: 0.6071 |
| - Bertscorer-r: 0.2214 |
| - Bertscorer-f1: 0.4073 |
| - Sacrebleu-score: 13.1915 |
| - Sacrebleu-precisions: [91.2377160786171, 81.28148602080365, 74.45810305941498, 69.5812750161697] |
| - Bleu-bp: 0.1676 |
| |
| ## 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: 0.0003 |
| - 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: 1 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:--------------------------------------------------------------------------:|:-------:| |
| | 0.3327 | 1.0 | 2386 | 0.2856 | 18.9997 | 0.6071 | 0.2214 | 0.4073 | 13.1915 | [91.2377160786171, 81.28148602080365, 74.45810305941498, 69.5812750161697] | 0.1676 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.13.2 |
| - Transformers 4.40.1 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 3.1.0 |
| - Tokenizers 0.19.1 |
