---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-finetuned-lr1e-06-epochs10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-finetuned-lr1e-06-epochs10

This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6132

## 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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 10   | 5.6593          |
| No log        | 2.0   | 20   | 5.2648          |
| No log        | 3.0   | 30   | 5.0527          |
| No log        | 4.0   | 40   | 4.9205          |
| No log        | 5.0   | 50   | 4.8196          |
| No log        | 6.0   | 60   | 4.7436          |
| No log        | 7.0   | 70   | 4.6878          |
| No log        | 8.0   | 80   | 4.6452          |
| No log        | 9.0   | 90   | 4.6218          |
| No log        | 10.0  | 100  | 4.6132          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3