---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Tya-Distilbert-CNN256LSTM128-Pytorch
  results: []
---

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# Tya-Distilbert-CNN256LSTM128-Pytorch

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: 1.5950

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.0971        | 1.0   | 3290  | 1.8622          |
| 1.3241        | 2.0   | 6580  | 1.2807          |
| 0.8786        | 3.0   | 9870  | 1.2497          |
| 0.6238        | 4.0   | 13160 | 1.2655          |
| 0.4372        | 5.0   | 16450 | 1.5950          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3