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# distilbert-base-uncased-finetuned-squad

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1010

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6775        | 0.23  | 500  | 1.5964          |
| 1.6083        | 0.45  | 1000 | 1.3869          |
| 1.4495        | 0.68  | 1500 | 1.2649          |
| 1.3425        | 0.9   | 2000 | 1.2112          |
| 1.2108        | 1.13  | 2500 | 1.1996          |
| 1.1106        | 1.36  | 3000 | 1.1464          |
| 1.0877        | 1.58  | 3500 | 1.1472          |
| 1.0493        | 1.81  | 4000 | 1.1132          |
| 1.0196        | 2.03  | 4500 | 1.1237          |
| 0.8958        | 2.26  | 5000 | 1.1212          |
| 0.9042        | 2.48  | 5500 | 1.1219          |
| 0.8821        | 2.71  | 6000 | 1.1013          |
| 0.8943        | 2.94  | 6500 | 1.1010          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-squad", "results": []}]}
transformers tensorboard safetensors distilbert question-answering generated_from_trainer dataset:squad base_model:distilbert-base-uncased license:apache-2.0 endpoints_compatible region:us