---
license: other
base_model: facebook/opt-350m
tags:
- generated_from_trainer
model-index:
- name: opt-350m_IA3_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_IA3_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: 3.6235

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.0247        | 1.0   | 157  | 3.8361          |
| 4.0183        | 2.0   | 314  | 3.8183          |
| 4.0005        | 3.0   | 471  | 3.7924          |
| 3.9764        | 4.0   | 628  | 3.7634          |
| 3.8952        | 5.0   | 785  | 3.7394          |
| 3.9008        | 6.0   | 942  | 3.7191          |
| 3.9332        | 7.0   | 1099 | 3.7025          |
| 3.8841        | 8.0   | 1256 | 3.6877          |
| 3.8515        | 9.0   | 1413 | 3.6754          |
| 3.8297        | 10.0  | 1570 | 3.6650          |
| 3.785         | 11.0  | 1727 | 3.6560          |
| 3.832         | 12.0  | 1884 | 3.6485          |
| 3.7683        | 13.0  | 2041 | 3.6422          |
| 3.8607        | 14.0  | 2198 | 3.6369          |
| 3.7712        | 15.0  | 2355 | 3.6327          |
| 3.7966        | 16.0  | 2512 | 3.6293          |
| 3.7841        | 17.0  | 2669 | 3.6266          |
| 3.8344        | 18.0  | 2826 | 3.6248          |
| 3.7461        | 19.0  | 2983 | 3.6238          |
| 3.8097        | 20.0  | 3140 | 3.6235          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0