Minata's picture
update model card README.md
afe01b2
|
raw
history blame
1.36 kB
---
license: bsd-3-clause
tags:
- generated_from_trainer
model-index:
- name: codegen-finetuned_method2test_ctx1
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. -->
# codegen-finetuned_method2test_ctx1
This model is a fine-tuned version of [Salesforce/codegen-350M-multi](https://huggingface.co/Salesforce/codegen-350M-multi) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7061
## 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: 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: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0217 | 1.0 | 113 | 0.7849 |
| 0.5019 | 2.0 | 226 | 0.7061 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2