---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
base_model: distilbert-base-uncased
model-index:
- name: vmehlin_distilbert-finetuned-squad
  results: []
---

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# vmehlin_distilbert-finetuned-squad

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.

## 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: 8
- 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
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1


### co2_eq_emissions:
- emissions: 49.49 g
- source: eco2AI
- training_time: 00:31:54
- geographical_location: Bavaria, Germany
- hardware_used: Intel(R) Xeon(R) Gold 5215 CPUs (2devices) & NVIDIA A40 (1 device)