---
license: apache-2.0
base_model: albert/albert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_bert_7000_32
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# model_bert_7000_32

This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co./albert/albert-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0215
- Accuracy: 1.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 25   | 0.4051          | 0.92     |
| No log        | 2.0   | 50   | 0.1586          | 0.97     |
| No log        | 3.0   | 75   | 0.0592          | 0.98     |
| No log        | 4.0   | 100  | 0.0215          | 1.0      |
| No log        | 5.0   | 125  | 0.0514          | 0.98     |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1