---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: rate-jokes-bert
  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. -->

# rate-jokes-bert

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0871
- F1: 0.0444

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 64   | 2.4209          | 0.0028 |
| No log        | 2.0   | 128  | 2.3785          | 0.0130 |
| No log        | 3.0   | 192  | 2.3215          | 0.0729 |
| No log        | 4.0   | 256  | 2.1787          | 0.0444 |
| No log        | 5.0   | 320  | 2.1038          | 0.0444 |
| No log        | 6.0   | 384  | 2.0944          | 0.0444 |
| No log        | 7.0   | 448  | 2.0911          | 0.0444 |
| 2.2915        | 8.0   | 512  | 2.0901          | 0.0444 |
| 2.2915        | 9.0   | 576  | 2.0892          | 0.0444 |
| 2.2915        | 10.0  | 640  | 2.0871          | 0.0444 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3