---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: patentClassfication2
  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. -->

# patentClassfication2

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: 0.6329
- Accuracy: 0.6441
- F1: 0.6528
- Precision: 0.6402
- Recall: 0.6658

## 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: 5.310370197342976e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 11

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.652         | 1.0   | 2221  | 0.6470          | 0.6087   | 0.5218 | 0.6759    | 0.4249 |
| 0.6283        | 2.0   | 4442  | 0.6329          | 0.6441   | 0.6528 | 0.6402    | 0.6658 |
| 0.5689        | 3.0   | 6663  | 0.6334          | 0.6371   | 0.6788 | 0.6112    | 0.7631 |
| 0.4785        | 4.0   | 8884  | 0.8592          | 0.6256   | 0.6131 | 0.6376    | 0.5905 |
| 0.3792        | 5.0   | 11105 | 0.9728          | 0.6207   | 0.6098 | 0.6310    | 0.5901 |
| 0.2839        | 6.0   | 13326 | 1.0226          | 0.6083   | 0.6212 | 0.6041    | 0.6394 |
| 0.2211        | 7.0   | 15547 | 1.6336          | 0.6145   | 0.6067 | 0.6223    | 0.5919 |
| 0.1756        | 8.0   | 17768 | 1.8340          | 0.6052   | 0.5951 | 0.6139    | 0.5773 |
| 0.1451        | 9.0   | 19989 | 2.0495          | 0.6078   | 0.5980 | 0.6165    | 0.5807 |
| 0.1147        | 10.0  | 22210 | 2.3889          | 0.6128   | 0.6128 | 0.6158    | 0.6098 |
| 0.0983        | 11.0  | 24431 | 2.4921          | 0.6119   | 0.6132 | 0.6141    | 0.6123 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3