---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lenate_model_6
  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. -->

# lenate_model_6

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1215
- Accuracy: 0.9688

## 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: 11

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 10   | 0.8277          | 0.625    |
| No log        | 2.0   | 20   | 0.6681          | 0.775    |
| No log        | 3.0   | 30   | 0.5125          | 0.8688   |
| No log        | 4.0   | 40   | 0.3817          | 0.8938   |
| No log        | 5.0   | 50   | 0.2871          | 0.925    |
| No log        | 6.0   | 60   | 0.2268          | 0.9313   |
| No log        | 7.0   | 70   | 0.1862          | 0.9313   |
| No log        | 8.0   | 80   | 0.1553          | 0.9375   |
| No log        | 9.0   | 90   | 0.1365          | 0.9563   |
| No log        | 10.0  | 100  | 0.1253          | 0.9688   |
| No log        | 11.0  | 110  | 0.1215          | 0.9688   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2