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# bart-large-finetuned-squadv1_qa_model

This model is a fine-tuned version of [valhalla/bart-large-finetuned-squadv1](https://huggingface.co/valhalla/bart-large-finetuned-squadv1) on the subjqa dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7136

## 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-07
- 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2299        | 1.0   | 32   | 4.8220          |
| 4.1974        | 2.0   | 64   | 4.7695          |
| 4.1692        | 3.0   | 96   | 4.7263          |
| 4.1427        | 4.0   | 128  | 4.7136          |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.13.0a0+d321be6
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "datasets": ["subjqa"], "model-index": [{"name": "bart-large-finetuned-squadv1_qa_model", "results": []}]}
transformers pytorch tensorboard bart question-answering generated_from_trainer dataset:subjqa endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bart #question-answering #generated_from_trainer #dataset-subjqa #endpoints_compatible #region-us 

bart-large-finetuned-squadv1\_qa\_model
=======================================


This model is a fine-tuned version of valhalla/bart-large-finetuned-squadv1 on the subjqa dataset.
It achieves the following results on the evaluation set:


* Loss: 4.7136


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-07
* 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: 4


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.0a0+d321be6
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-07
* 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: 4 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.0a0+d321be6
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #bart #question-answering #generated_from_trainer #dataset-subjqa #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-07
* 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: 4 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.0a0+d321be6
* Datasets 2.12.0
* Tokenizers 0.13.3