---
license: apache-2.0
base_model: albert/albert-base-v2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: CRAB_albert_base_finetuned
  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. -->

# CRAB_albert_base_finetuned

This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0693
- F1: 0.7264

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.1559        | 1.0   | 2880  | 1.2804          | 0.6444 |
| 1.0303        | 2.0   | 5760  | 1.3236          | 0.6986 |
| 0.8925        | 3.0   | 8640  | 1.0502          | 0.7014 |
| 0.9221        | 4.0   | 11520 | 1.0111          | 0.7194 |
| 0.7799        | 5.0   | 14400 | 1.0462          | 0.7083 |
| 0.7661        | 6.0   | 17280 | 1.0564          | 0.7236 |
| 0.7346        | 7.0   | 20160 | 1.0643          | 0.7250 |
| 0.6651        | 8.0   | 23040 | 1.0693          | 0.7264 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1