---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-distilled-squad-coffee20230108
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-distilled-squad-coffee20230108

This model is a fine-tuned version of [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3444

## 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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 89   | 1.9198          |
| 2.3879        | 2.0   | 178  | 1.8526          |
| 1.5528        | 3.0   | 267  | 1.8428          |
| 1.1473        | 4.0   | 356  | 2.4035          |
| 0.7375        | 5.0   | 445  | 2.3232          |
| 0.5986        | 6.0   | 534  | 2.4550          |
| 0.4252        | 7.0   | 623  | 3.2831          |
| 0.2612        | 8.0   | 712  | 3.2129          |
| 0.143         | 9.0   | 801  | 3.7849          |
| 0.143         | 10.0  | 890  | 3.8476          |
| 0.0984        | 11.0  | 979  | 4.1742          |
| 0.0581        | 12.0  | 1068 | 4.3476          |
| 0.0157        | 13.0  | 1157 | 4.3818          |
| 0.0131        | 14.0  | 1246 | 4.3357          |
| 0.0059        | 15.0  | 1335 | 4.3444          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2