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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
|