---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-goodreads-bookgenres-Description_cls-6e
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-base-goodreads-bookgenres-Description_cls-6e

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2130
- F1: 0.6717

## 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: 4e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-10
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.04
- num_epochs: 6.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.3118        | 1.0   | 62   | 0.2885          | 0.3362 |
| 0.2676        | 2.0   | 124  | 0.2511          | 0.4882 |
| 0.2325        | 3.0   | 186  | 0.2272          | 0.6093 |
| 0.2127        | 4.0   | 248  | 0.2181          | 0.6591 |
| 0.1978        | 5.0   | 310  | 0.2140          | 0.6686 |
| 0.1817        | 6.0   | 372  | 0.2130          | 0.6717 |


### Framework versions

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