---
library_name: transformers
license: other
base_model: facebook/opt-125m
tags:
- generated_from_trainer
model-index:
- name: getcode
  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. -->

# getcode

This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3129

## 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: 0.0004
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log        | 1.0     | 22   | 1.8588          |
| No log        | 2.0     | 44   | 1.4885          |
| No log        | 3.0     | 66   | 1.3922          |
| No log        | 4.0     | 88   | 1.3830          |
| No log        | 5.0     | 110  | 1.3547          |
| No log        | 6.0     | 132  | 1.3556          |
| No log        | 7.0     | 154  | 1.3672          |
| No log        | 8.0     | 176  | 1.3509          |
| No log        | 9.0     | 198  | 1.3414          |
| No log        | 10.0    | 220  | 1.3428          |
| No log        | 11.0    | 242  | 1.3361          |
| No log        | 12.0    | 264  | 1.3332          |
| No log        | 13.0    | 286  | 1.3333          |
| No log        | 14.0    | 308  | 1.3280          |
| No log        | 15.0    | 330  | 1.3232          |
| No log        | 16.0    | 352  | 1.3215          |
| No log        | 17.0    | 374  | 1.3185          |
| No log        | 18.0    | 396  | 1.3142          |
| No log        | 19.0    | 418  | 1.3129          |
| No log        | 19.0947 | 420  | 1.3129          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0