---
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: vinai/bertweet-base
model-index:
- name: daryl_morey_apology
  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. -->

# daryl_morey_apology

This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7634
- Accuracy: 0.7778

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 259  | 0.7589          | 0.7585   |
| 0.8357        | 2.0   | 518  | 0.6771          | 0.7720   |
| 0.8357        | 3.0   | 777  | 0.7151          | 0.7681   |
| 0.4531        | 4.0   | 1036 | 0.7498          | 0.7826   |
| 0.4531        | 5.0   | 1295 | 0.7634          | 0.7778   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2