---
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 was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5108
- Accuracy: 0.7492
- F1: 0.7710
- Precision: 0.7025
- Recall: 0.8543

## 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: 2.329139e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 18
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 478
- num_epochs: 11

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.5264        | 1.0   | 1110  | 0.5108          | 0.7492   | 0.7710 | 0.7025    | 0.8543 |
| 0.4405        | 2.0   | 2220  | 0.5624          | 0.7463   | 0.7295 | 0.7710    | 0.6923 |
| 0.2972        | 3.0   | 3330  | 0.7480          | 0.7394   | 0.7224 | 0.7629    | 0.6859 |
| 0.1733        | 4.0   | 4440  | 0.7975          | 0.7328   | 0.7316 | 0.7266    | 0.7367 |
| 0.1242        | 5.0   | 5550  | 1.3035          | 0.7314   | 0.7396 | 0.7101    | 0.7716 |
| 0.0866        | 6.0   | 6660  | 1.6628          | 0.7272   | 0.7110 | 0.7464    | 0.6788 |
| 0.0493        | 7.0   | 7770  | 1.7728          | 0.7321   | 0.7285 | 0.7297    | 0.7274 |
| 0.0313        | 8.0   | 8880  | 2.0279          | 0.7383   | 0.7325 | 0.7402    | 0.7249 |
| 0.0187        | 9.0   | 9990  | 2.1956          | 0.7375   | 0.7445 | 0.7173    | 0.7739 |
| 0.0148        | 10.0  | 11100 | 2.2491          | 0.7355   | 0.7366 | 0.7256    | 0.7479 |
| 0.0129        | 11.0  | 12210 | 2.2694          | 0.7350   | 0.7378 | 0.7220    | 0.7543 |


### Framework versions

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