---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-goemotions-10epochs
  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-10epochs

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1110
- Accuracy Thresh: 0.9619

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------------:|
| 0.126         | 1.0   | 5283  | 0.1127          | 0.9619          |
| 0.1101        | 2.0   | 10566 | 0.1110          | 0.9619          |
| 0.1051        | 3.0   | 15849 | 0.1111          | 0.9616          |
| 0.1007        | 4.0   | 21132 | 0.1126          | 0.9613          |
| 0.0968        | 5.0   | 26415 | 0.1145          | 0.9605          |
| 0.0932        | 6.0   | 31698 | 0.1160          | 0.9601          |
| 0.0902        | 7.0   | 36981 | 0.1192          | 0.9593          |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Tokenizers 0.14.1