---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: toy
  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. -->

# toy

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: 0.2041

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3125        | 1.0   | 923  | 0.2391          |
| 0.3287        | 2.0   | 1846 | 0.2306          |
| 0.1138        | 3.0   | 2769 | 0.1806          |
| 0.1219        | 4.0   | 3692 | 0.1858          |
| 0.0962        | 5.0   | 4615 | 0.1922          |
| 0.0526        | 6.0   | 5538 | 0.1963          |
| 0.0248        | 7.0   | 6461 | 0.1930          |
| 0.0004        | 8.0   | 7384 | 0.2153          |
| 0.0136        | 9.0   | 8307 | 0.2037          |
| 0.0002        | 10.0  | 9230 | 0.2041          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0
- Datasets 1.18.3
- Tokenizers 0.11.6