---
library_name: transformers
license: apache-2.0
base_model: knowledgator/comprehend_it-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: winzo_feature_classifier_lowercase
  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. -->

# winzo_feature_classifier_lowercase

This model is a fine-tuned version of [knowledgator/comprehend_it-base](https://huggingface.co/knowledgator/comprehend_it-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0379
- Accuracy: 0.9873

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0639        | 1.0   | 14345 | 0.0698          | 0.9813   |
| 0.0328        | 2.0   | 28690 | 0.0416          | 0.9871   |
| 0.0286        | 3.0   | 43035 | 0.0379          | 0.9873   |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0