---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: albert-base-v2
model-index:
- name: NLI-Lora-Fine-Tuning-ClearFinalProperTrueFinal
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# NLI-Lora-Fine-Tuning-ClearFinalProperTrueFinal

This model is a fine-tuned version of [albert-base-v2](https://huggingface.co./albert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0940
- Accuracy: 0.3747

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 32   | 1.1176          | 0.3442   |
| No log        | 2.0   | 64   | 1.0955          | 0.3615   |
| No log        | 3.0   | 96   | 1.0940          | 0.3747   |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2