---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-cased-finetuned-feelings-text-classifier-eng
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-cased-finetuned-feelings-text-classifier-eng

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3930
- Accuracy: 0.9186

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3309        | 1.0   | 564  | 0.2348          | 0.9193   |
| 0.193         | 2.0   | 1128 | 0.2359          | 0.9226   |
| 0.1566        | 3.0   | 1692 | 0.2517          | 0.9241   |
| 0.1275        | 4.0   | 2256 | 0.2629          | 0.9256   |
| 0.1021        | 5.0   | 2820 | 0.3023          | 0.9219   |
| 0.0834        | 6.0   | 3384 | 0.3145          | 0.9193   |
| 0.0679        | 7.0   | 3948 | 0.3338          | 0.9219   |
| 0.0543        | 8.0   | 4512 | 0.3695          | 0.9194   |
| 0.0475        | 9.0   | 5076 | 0.3795          | 0.9198   |
| 0.0389        | 10.0  | 5640 | 0.3930          | 0.9186   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2