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---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: facebook/opt-1.3b
model-index:
- name: opt-1.3b_lora_627_lr5e-05_bs4_epoch5_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-1.3b_lora_627_lr5e-05_bs4_epoch5_wd0.01
This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co./facebook/opt-1.3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9576
## 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: 4
- 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6301 | 1.0 | 157 | 3.0802 |
| 3.1031 | 2.0 | 314 | 2.9470 |
| 3.0145 | 3.0 | 471 | 2.9682 |
| 2.9372 | 4.0 | 628 | 2.9680 |
| 2.8663 | 5.0 | 785 | 2.9576 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0 |