codet5p-220m-v23 / README.md
chathuranga-jayanath's picture
End of training
1fda3ea verified
|
raw
history blame
1.61 kB
---
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
tags:
- generated_from_trainer
model-index:
- name: codet5p-220m-v23
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. -->
# codet5p-220m-v23
This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0889
- Bleu Score: 0.0014
- Gen Len: 14.6449
## 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: 2e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:----------:|:-------:|
| 0.1539 | 1.0 | 3752 | 0.1106 | 0.0014 | 14.617 |
| 0.085 | 2.0 | 7504 | 0.0905 | 0.0014 | 14.6366 |
| 0.0558 | 3.0 | 11256 | 0.0889 | 0.0014 | 14.6449 |
### Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1