codet5p-770m-lora / README.md
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---
license: bsd-3-clause
library_name: peft
tags:
- generated_from_trainer
base_model: Salesforce/codet5p-770m
model-index:
- name: codet5p-770m-lora
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-770m-lora
This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-770m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1024
## 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: 1e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.3504 | 0.9979 | 349 | 0.1097 |
| 0.1159 | 1.9986 | 699 | 0.1053 |
| 0.1101 | 2.9993 | 1049 | 0.1035 |
| 0.1077 | 4.0 | 1399 | 0.1027 |
| 0.1064 | 4.9893 | 1745 | 0.1024 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1