---
license: other
base_model: facebook/opt-350m
tags:
- generated_from_trainer
model-index:
- name: Fine_tuned_model
  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. -->

# Fine_tuned_model

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.3108

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 50

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 9.3428        | 0.0230 | 5    | 9.3261          |
| 9.2891        | 0.0459 | 10   | 9.3237          |
| 9.3229        | 0.0689 | 15   | 9.3213          |
| 9.325         | 0.0918 | 20   | 9.3189          |
| 9.2929        | 0.1148 | 25   | 9.3167          |
| 9.3197        | 0.1378 | 30   | 9.3148          |
| 9.3362        | 0.1607 | 35   | 9.3131          |
| 9.3035        | 0.1837 | 40   | 9.3119          |
| 9.3198        | 0.2067 | 45   | 9.3111          |
| 9.4037        | 0.2296 | 50   | 9.3108          |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1