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---
license: apache-2.0
base_model: Salesforce/codet5-base
tags:
- generated_from_trainer
model-index:
- name: v3_my_awesome_t5
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. -->
# v3_my_awesome_t5
This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2913
## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 230 | 1.2882 |
| No log | 2.0 | 460 | 1.2610 |
| 0.059 | 3.0 | 690 | 1.2528 |
| 0.059 | 4.0 | 920 | 1.2447 |
| 0.0497 | 5.0 | 1150 | 1.2749 |
| 0.0497 | 6.0 | 1380 | 1.2795 |
| 0.0319 | 7.0 | 1610 | 1.2746 |
| 0.0319 | 8.0 | 1840 | 1.2849 |
| 0.0265 | 9.0 | 2070 | 1.2919 |
| 0.0265 | 10.0 | 2300 | 1.2913 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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