---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-goemotions-15epochs-run2
  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. -->

# bert-goemotions-15epochs-run2

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1154
- Accuracy Thresh: 0.9616
- F1 weighted: 0.3672
- F1 macro: 0.2835
- Accuracy: 0.4083
- Recall weighted: 0.4083
- Recall macro: 0.2851

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy Thresh | F1 weighted | F1 macro | Accuracy | Recall weighted | Recall macro |
|:-------------:|:-----:|:-----:|:---------------:|:---------------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|
| 0.1322        | 1.0   | 5283  | 0.1205          | 0.9609          | 0.3371      | 0.2432   | 0.3944   | 0.3944          | 0.2539       |
| 0.1189        | 2.0   | 10566 | 0.1165          | 0.9614          | 0.3573      | 0.2726   | 0.4062   | 0.4062          | 0.2835       |
| 0.114         | 3.0   | 15849 | 0.1154          | 0.9616          | 0.3672      | 0.2835   | 0.4083   | 0.4083          | 0.2851       |
| 0.1098        | 4.0   | 21132 | 0.1157          | 0.9613          | 0.3743      | 0.2929   | 0.4019   | 0.4019          | 0.2996       |
| 0.1059        | 5.0   | 26415 | 0.1172          | 0.9609          | 0.3751      | 0.2959   | 0.4002   | 0.4002          | 0.3049       |
| 0.1023        | 6.0   | 31698 | 0.1173          | 0.9610          | 0.3779      | 0.3012   | 0.3986   | 0.3986          | 0.3135       |
| 0.0988        | 7.0   | 36981 | 0.1188          | 0.9603          | 0.3805      | 0.3082   | 0.3925   | 0.3925          | 0.3175       |
| 0.0956        | 8.0   | 42264 | 0.1199          | 0.9601          | 0.3803      | 0.3044   | 0.3973   | 0.3973          | 0.3129       |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1