---
license: mit
base_model: roberta-large-mnli
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-large-mnli-goodreads-bookgenres-Book_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. -->

# roberta-large-mnli-goodreads-bookgenres-Book_cls-5e

This model is a fine-tuned version of [roberta-large-mnli](https://huggingface.co/roberta-large-mnli) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2758
- F1: 0.5464

## 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: 6e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-10
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.3096        | 1.0   | 62   | 0.2862          | 0.3707 |
| 0.2863        | 2.0   | 124  | 0.2804          | 0.4422 |
| 0.2618        | 3.0   | 186  | 0.2773          | 0.4989 |
| 0.2432        | 4.0   | 248  | 0.2764          | 0.5223 |
| 0.2241        | 5.0   | 310  | 0.2758          | 0.5464 |


### Framework versions

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