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---
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 |