---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-finetuned-lr1e-06-epochs50
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbert-finetuned-lr1e-06-epochs50

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: 3.1397

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 10   | 5.6380          |
| No log        | 2.0   | 20   | 5.2148          |
| No log        | 3.0   | 30   | 4.9729          |
| No log        | 4.0   | 40   | 4.8036          |
| No log        | 5.0   | 50   | 4.6566          |
| No log        | 6.0   | 60   | 4.5248          |
| No log        | 7.0   | 70   | 4.4054          |
| No log        | 8.0   | 80   | 4.2868          |
| No log        | 9.0   | 90   | 4.1864          |
| No log        | 10.0  | 100  | 4.0935          |
| No log        | 11.0  | 110  | 4.0126          |
| No log        | 12.0  | 120  | 3.9390          |
| No log        | 13.0  | 130  | 3.8698          |
| No log        | 14.0  | 140  | 3.8036          |
| No log        | 15.0  | 150  | 3.7400          |
| No log        | 16.0  | 160  | 3.6834          |
| No log        | 17.0  | 170  | 3.6343          |
| No log        | 18.0  | 180  | 3.5871          |
| No log        | 19.0  | 190  | 3.5456          |
| No log        | 20.0  | 200  | 3.5103          |
| No log        | 21.0  | 210  | 3.4753          |
| No log        | 22.0  | 220  | 3.4419          |
| No log        | 23.0  | 230  | 3.4087          |
| No log        | 24.0  | 240  | 3.3805          |
| No log        | 25.0  | 250  | 3.3562          |
| No log        | 26.0  | 260  | 3.3345          |
| No log        | 27.0  | 270  | 3.3151          |
| No log        | 28.0  | 280  | 3.2957          |
| No log        | 29.0  | 290  | 3.2772          |
| No log        | 30.0  | 300  | 3.2620          |
| No log        | 31.0  | 310  | 3.2497          |
| No log        | 32.0  | 320  | 3.2358          |
| No log        | 33.0  | 330  | 3.2254          |
| No log        | 34.0  | 340  | 3.2158          |
| No log        | 35.0  | 350  | 3.2057          |
| No log        | 36.0  | 360  | 3.1972          |
| No log        | 37.0  | 370  | 3.1877          |
| No log        | 38.0  | 380  | 3.1800          |
| No log        | 39.0  | 390  | 3.1722          |
| No log        | 40.0  | 400  | 3.1664          |
| No log        | 41.0  | 410  | 3.1630          |
| No log        | 42.0  | 420  | 3.1585          |
| No log        | 43.0  | 430  | 3.1538          |
| No log        | 44.0  | 440  | 3.1488          |
| No log        | 45.0  | 450  | 3.1454          |
| No log        | 46.0  | 460  | 3.1422          |
| No log        | 47.0  | 470  | 3.1414          |
| No log        | 48.0  | 480  | 3.1407          |
| No log        | 49.0  | 490  | 3.1399          |
| 2.8494        | 50.0  | 500  | 3.1397          |


### Framework versions

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