---
license: other
base_model: facebook/opt-350m
tags:
- generated_from_trainer
model-index:
- name: opt-350m_fine_lr5e-05_bs4_epoch20_wd0.01
  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. -->

# opt-350m_fine_lr5e-05_bs4_epoch20_wd0.01

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: 6.4402

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6861        | 1.0   | 157  | 3.5351          |
| 2.8315        | 2.0   | 314  | 3.7727          |
| 1.9912        | 3.0   | 471  | 4.1666          |
| 1.4737        | 4.0   | 628  | 4.4532          |
| 1.1977        | 5.0   | 785  | 4.9565          |
| 0.8678        | 6.0   | 942  | 4.9429          |
| 0.8014        | 7.0   | 1099 | 5.3148          |
| 0.685         | 8.0   | 1256 | 5.4586          |
| 0.6793        | 9.0   | 1413 | 5.3924          |
| 0.6246        | 10.0  | 1570 | 5.6821          |
| 0.5972        | 11.0  | 1727 | 5.8316          |
| 0.5604        | 12.0  | 1884 | 5.8977          |
| 0.5404        | 13.0  | 2041 | 6.0070          |
| 0.5375        | 14.0  | 2198 | 5.9317          |
| 0.5035        | 15.0  | 2355 | 6.1104          |
| 0.5088        | 16.0  | 2512 | 6.2142          |
| 0.4827        | 17.0  | 2669 | 6.1858          |
| 0.4744        | 18.0  | 2826 | 6.3306          |
| 0.4641        | 19.0  | 2983 | 6.3937          |
| 0.4531        | 20.0  | 3140 | 6.4402          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0