---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: Alireza1044/albert-base-v2-mnli
model-index:
- name: NLI-Lora-Fine-Tuning-10K-ALBERT
  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. -->

# NLI-Lora-Fine-Tuning-10K-ALBERT

This model is a fine-tuned version of [Alireza1044/albert-base-v2-mnli](https://huggingface.co/Alireza1044/albert-base-v2-mnli) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5040
- Accuracy: 0.8087

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 312  | 0.5855          | 0.7969   |
| 0.6904        | 2.0   | 624  | 0.5286          | 0.7992   |
| 0.6904        | 3.0   | 936  | 0.5205          | 0.8010   |
| 0.5659        | 4.0   | 1248 | 0.5168          | 0.8021   |
| 0.5529        | 5.0   | 1560 | 0.5128          | 0.8042   |
| 0.5529        | 6.0   | 1872 | 0.5096          | 0.8054   |
| 0.5459        | 7.0   | 2184 | 0.5071          | 0.8076   |
| 0.5459        | 8.0   | 2496 | 0.5055          | 0.8081   |
| 0.5319        | 9.0   | 2808 | 0.5044          | 0.8086   |
| 0.5319        | 10.0  | 3120 | 0.5040          | 0.8087   |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2