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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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1676

## 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: 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 47   | 3.7022          |
| No log        | 2.0   | 94   | 3.2578          |
| No log        | 3.0   | 141  | 3.1677          |
| No log        | 4.0   | 188  | 3.1411          |
| No log        | 5.0   | 235  | 3.2288          |
| No log        | 6.0   | 282  | 3.2640          |
| No log        | 7.0   | 329  | 3.3689          |
| No log        | 8.0   | 376  | 3.4776          |
| No log        | 9.0   | 423  | 3.5919          |
| No log        | 10.0  | 470  | 3.6319          |
| 2.2819        | 11.0  | 517  | 3.8199          |
| 2.2819        | 12.0  | 564  | 3.9339          |
| 2.2819        | 13.0  | 611  | 3.9348          |
| 2.2819        | 14.0  | 658  | 3.9293          |
| 2.2819        | 15.0  | 705  | 4.0312          |
| 2.2819        | 16.0  | 752  | 4.1651          |
| 2.2819        | 17.0  | 799  | 4.0788          |
| 2.2819        | 18.0  | 846  | 4.1112          |
| 2.2819        | 19.0  | 893  | 4.1513          |
| 2.2819        | 20.0  | 940  | 4.1676          |


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

distilbert-base-uncased-finetuned-squad
=======================================


This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 4.1676


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: 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: 20


### Training results



### Framework versions


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



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* 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: 20 ### Training results ### Framework versions


* Transformers 4.35.2
* Pytorch 2.1.0+cu121
* Datasets 2.15.0
* Tokenizers 0.15.0
TAGS
#transformers #pytorch #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* 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: 20 ### Training results ### Framework versions


* Transformers 4.35.2
* Pytorch 2.1.0+cu121
* Datasets 2.15.0
* Tokenizers 0.15.0
TAGS
#transformers #pytorch #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* 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: 20### Training results### Framework versions


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