---
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: 3.4792

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.0628        | 1.0   | 157  | 4.7979          |
| 4.8511        | 2.0   | 314  | 4.5284          |
| 4.5758        | 3.0   | 471  | 3.9450          |
| 3.8268        | 4.0   | 628  | 3.6092          |
| 3.6672        | 5.0   | 785  | 3.5374          |
| 3.5446        | 6.0   | 942  | 3.5019          |
| 3.5009        | 7.0   | 1099 | 3.4825          |
| 3.4183        | 8.0   | 1256 | 3.4741          |
| 3.4299        | 9.0   | 1413 | 3.4689          |
| 3.3831        | 10.0  | 1570 | 3.4699          |
| 3.3121        | 11.0  | 1727 | 3.4698          |
| 3.2631        | 12.0  | 1884 | 3.4691          |
| 3.2326        | 13.0  | 2041 | 3.4717          |
| 3.2115        | 14.0  | 2198 | 3.4719          |
| 3.2042        | 15.0  | 2355 | 3.4753          |
| 3.1537        | 16.0  | 2512 | 3.4738          |
| 3.1587        | 17.0  | 2669 | 3.4764          |
| 3.1446        | 18.0  | 2826 | 3.4777          |
| 3.209         | 19.0  | 2983 | 3.4790          |
| 3.1281        | 20.0  | 3140 | 3.4792          |


### Framework versions

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