---
license: apache-2.0
base_model: albert-xxlarge-v2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: albert-xxlarge-v2-goodreads-bookgenres-Description_cls-5e
  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. -->

# albert-xxlarge-v2-goodreads-bookgenres-Description_cls-5e

This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1905
- F1: 0.7058

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2903        | 0.99  | 123  | 0.2686          | 0.4011 |
| 0.2171        | 2.0   | 247  | 0.2168          | 0.6493 |
| 0.1879        | 3.0   | 371  | 0.1990          | 0.6612 |
| 0.1476        | 4.0   | 495  | 0.1879          | 0.7060 |
| 0.1279        | 4.97  | 615  | 0.1905          | 0.7058 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.2.0.dev20231001+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3