---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: finetuned_token_2e-05_16_02_2022-14_15_41
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuned_token_2e-05_16_02_2022-14_15_41

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: 0.1746
- Precision: 0.3191
- Recall: 0.3382
- F1: 0.3284
- Accuracy: 0.9439

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 38   | 0.2908          | 0.1104    | 0.1905 | 0.1398 | 0.8731   |
| No log        | 2.0   | 76   | 0.2253          | 0.1682    | 0.3206 | 0.2206 | 0.9114   |
| No log        | 3.0   | 114  | 0.2041          | 0.2069    | 0.3444 | 0.2585 | 0.9249   |
| No log        | 4.0   | 152  | 0.1974          | 0.2417    | 0.3603 | 0.2894 | 0.9269   |
| No log        | 5.0   | 190  | 0.1958          | 0.2707    | 0.3683 | 0.3120 | 0.9299   |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3