---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: facebook/opt-350m
model-index:
- name: opt-350m_adalora_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_adalora_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: 3.4742

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.0651        | 1.0   | 157  | 4.7989          |
| 4.8493        | 2.0   | 314  | 4.5267          |
| 4.576         | 3.0   | 471  | 3.9509          |
| 3.8391        | 4.0   | 628  | 3.6083          |
| 3.676         | 5.0   | 785  | 3.5374          |
| 3.5459        | 6.0   | 942  | 3.5018          |
| 3.5045        | 7.0   | 1099 | 3.4823          |
| 3.4229        | 8.0   | 1256 | 3.4745          |
| 3.4334        | 9.0   | 1413 | 3.4691          |
| 3.3878        | 10.0  | 1570 | 3.4691          |
| 3.316         | 11.0  | 1727 | 3.4681          |
| 3.2654        | 12.0  | 1884 | 3.4660          |
| 3.2361        | 13.0  | 2041 | 3.4672          |
| 3.2146        | 14.0  | 2198 | 3.4672          |
| 3.2086        | 15.0  | 2355 | 3.4711          |
| 3.1561        | 16.0  | 2512 | 3.4700          |
| 3.163         | 17.0  | 2669 | 3.4721          |
| 3.1533        | 18.0  | 2826 | 3.4729          |
| 3.2128        | 19.0  | 2983 | 3.4742          |
| 3.1356        | 20.0  | 3140 | 3.4742          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0