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

# sw-opt-350m

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6650

## 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: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 6.2094        | 0.1147 | 200  | 5.0391          |
| 4.4151        | 0.2294 | 400  | 4.3766          |
| 3.9865        | 0.3441 | 600  | 4.1046          |
| 3.7852        | 0.4588 | 800  | 3.9390          |
| 3.6542        | 0.5735 | 1000 | 3.8254          |
| 3.5559        | 0.6882 | 1200 | 3.7421          |
| 3.4816        | 0.8029 | 1400 | 3.6885          |
| 3.447         | 0.9176 | 1600 | 3.6650          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1