---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilBERT_token_itr0_1e-05_webDiscourse_01_03_2022-15_10_39
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilBERT_token_itr0_1e-05_webDiscourse_01_03_2022-15_10_39

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: 0.5867
- Precision: 0.0119
- Recall: 0.0116
- F1: 0.0118
- Accuracy: 0.6976

## 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: 1e-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   | 10   | 0.5730          | 0.0952    | 0.0270 | 0.0421 | 0.7381   |
| No log        | 2.0   | 20   | 0.5755          | 0.0213    | 0.0135 | 0.0165 | 0.7388   |
| No log        | 3.0   | 30   | 0.5635          | 0.0196    | 0.0135 | 0.016  | 0.7416   |
| No log        | 4.0   | 40   | 0.5549          | 0.0392    | 0.0270 | 0.032  | 0.7429   |
| No log        | 5.0   | 50   | 0.5530          | 0.0357    | 0.0270 | 0.0308 | 0.7438   |


### Framework versions

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