pytorch tensorboard bert question-answering transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
model-index:
- name: de-finetuned-squad-qa-minilmv2-16
  results: []
---

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# de-finetuned-squad-qa-minilmv2-16

This model is a fine-tuned version of [subhasisj/de-TAPT-MLM-MiniLM](https://huggingface.co/subhasisj/de-TAPT-MLM-MiniLM) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5756

## 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
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6022        | 1.0   | 671  | 2.0770          |
| 1.9783        | 2.0   | 1342 | 1.6511          |
| 1.4059        | 3.0   | 2013 | 1.5939          |
| 1.2989        | 4.0   | 2684 | 1.5772          |
| 1.2522        | 5.0   | 3355 | 1.5756          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
