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---
license: bsd-3-clause
base_model: Salesforce/codegen-350M-mono
tags:
- generated_from_trainer
model-index:
- name: ast_method2test-codegen-350M_v1_v1
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. -->
# ast_method2test-codegen-350M_v1_v1
This model is a fine-tuned version of [Salesforce/codegen-350M-mono](https://huggingface.co/Salesforce/codegen-350M-mono) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2259
## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2695 | 1.0 | 1768 | 0.2096 |
| 0.1801 | 2.0 | 3536 | 0.1897 |
| 0.1479 | 3.0 | 5304 | 0.1855 |
| 0.1245 | 4.0 | 7072 | 0.1904 |
| 0.1073 | 5.0 | 8840 | 0.1961 |
| 0.0941 | 6.0 | 10608 | 0.2011 |
| 0.0831 | 7.0 | 12376 | 0.2081 |
| 0.074 | 8.0 | 14144 | 0.2157 |
| 0.0667 | 9.0 | 15912 | 0.2209 |
| 0.0612 | 10.0 | 17680 | 0.2259 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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