---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
base_model: distilbert-base-uncased-finetuned-sst-2-english
model-index:
- name: semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english
  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. -->

# semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english

This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5298
- F1: 0.4120

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 22   | 3.4120          | 0.3965 |
| No log        | 2.0   | 44   | 3.4436          | 0.3834 |
| No log        | 3.0   | 66   | 3.5298          | 0.4120 |
| No log        | 4.0   | 88   | 3.5558          | 0.4018 |
| No log        | 5.0   | 110  | 3.6086          | 0.4002 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.13.2