---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-tweet-analysis
  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. -->

# distilbert-tweet-analysis

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3458
- F1: 0.9133

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 44   | 0.3858          | 0.9067 |
| No log        | 2.0   | 88   | 0.3458          | 0.9133 |
| No log        | 3.0   | 132  | 0.2841          | 0.9133 |


### Framework versions

- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2