---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: token_fine_tunned_flipkart
  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. -->

# token_fine_tunned_flipkart

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: 0.0992
- Precision: 0.9526
- Recall: 0.9669
- F1: 0.9597
- Accuracy: 0.9730

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 135  | 0.5967          | 0.7227    | 0.7830 | 0.7516 | 0.7932   |
| No log        | 2.0   | 270  | 0.3673          | 0.8105    | 0.8623 | 0.8356 | 0.8747   |
| No log        | 3.0   | 405  | 0.2679          | 0.8676    | 0.8854 | 0.8764 | 0.9094   |
| 0.6219        | 4.0   | 540  | 0.1972          | 0.8955    | 0.9217 | 0.9084 | 0.9355   |
| 0.6219        | 5.0   | 675  | 0.1500          | 0.9229    | 0.9374 | 0.9301 | 0.9525   |
| 0.6219        | 6.0   | 810  | 0.1240          | 0.9341    | 0.9509 | 0.9424 | 0.9609   |
| 0.6219        | 7.0   | 945  | 0.1041          | 0.9516    | 0.9650 | 0.9582 | 0.9720   |
| 0.2085        | 8.0   | 1080 | 0.0992          | 0.9526    | 0.9669 | 0.9597 | 0.9730   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.2
- Tokenizers 0.12.1