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

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

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: 0.6621
- Accuracy: 0.6684

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.56  | 100  | 0.6995          | 0.5288   |
| No log        | 1.12  | 200  | 0.6658          | 0.6555   |
| No log        | 1.68  | 300  | 0.6251          | 0.6660   |
| No log        | 2.23  | 400  | 0.6158          | 0.6932   |
| 0.5771        | 2.79  | 500  | 0.6305          | 0.6974   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2