---
license: apache-2.0
base_model: lenate/lenate_model_11_distilbert_trained
tags:
- generated_from_trainer
model-index:
- name: fine_tuned_model
  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. -->

# fine_tuned_model

This model is a fine-tuned version of [lenate/lenate_model_11_distilbert_trained](https://huggingface.co./lenate/lenate_model_11_distilbert_trained) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1919

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 4    | 0.3018          |
| No log        | 2.0   | 8    | 0.2088          |
| No log        | 3.0   | 12   | 0.1919          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1