---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: MTL-distilbert-base-uncased
  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. -->

# MTL-distilbert-base-uncased

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: 2.3718

## 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: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1225        | 1.0   | 50   | 2.7381          |
| 2.7945        | 2.0   | 100  | 2.6858          |
| 2.7162        | 3.0   | 150  | 2.5329          |
| 2.6526        | 4.0   | 200  | 2.5430          |
| 2.5863        | 5.0   | 250  | 2.4785          |
| 2.5701        | 6.0   | 300  | 2.4415          |
| 2.5362        | 7.0   | 350  | 2.4678          |
| 2.4961        | 8.0   | 400  | 2.4571          |
| 2.4842        | 9.0   | 450  | 2.3915          |
| 2.4697        | 10.0  | 500  | 2.4644          |
| 2.4407        | 11.0  | 550  | 2.3628          |
| 2.4264        | 12.0  | 600  | 2.4008          |
| 2.4321        | 13.0  | 650  | 2.3672          |
| 2.4169        | 14.0  | 700  | 2.3586          |
| 2.4056        | 15.0  | 750  | 2.3705          |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0