---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-airline-sentiment-tweets
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-airline-sentiment-tweets

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4399
- F1: 0.8493
- Accuracy: 0.8611

## 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: 64
- eval_batch_size: 64
- 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     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 0.7149        | 1.0   | 37   | 0.6176          | 0.6562 | 0.7599   |
| 0.4767        | 2.0   | 74   | 0.3981          | 0.8272 | 0.8473   |
| 0.3311        | 3.0   | 111  | 0.3420          | 0.8576 | 0.8696   |
| 0.2435        | 4.0   | 148  | 0.3614          | 0.8528 | 0.8645   |
| 0.1975        | 5.0   | 185  | 0.3721          | 0.8502 | 0.8645   |
| 0.1496        | 6.0   | 222  | 0.3862          | 0.8471 | 0.8593   |
| 0.1114        | 7.0   | 259  | 0.4239          | 0.8412 | 0.8576   |
| 0.0989        | 8.0   | 296  | 0.4168          | 0.8484 | 0.8593   |
| 0.0747        | 9.0   | 333  | 0.4376          | 0.8459 | 0.8593   |
| 0.0733        | 10.0  | 370  | 0.4399          | 0.8493 | 0.8611   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2