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---
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
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