
<!-- 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. -->

# bert-small-finetuned-cuad-longer

This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the cuad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0617

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0601        | 1.0   | 8702  | 0.0404          |
| 0.0551        | 2.0   | 17404 | 0.0394          |
| 0.0428        | 3.0   | 26106 | 0.0481          |
| 0.0375        | 4.0   | 34808 | 0.0425          |
| 0.0403        | 5.0   | 43510 | 0.0551          |
| 0.0246        | 6.0   | 52212 | 0.0588          |
| 0.0284        | 7.0   | 60914 | 0.0557          |
| 0.0303        | 8.0   | 69616 | 0.0543          |
| 0.0239        | 9.0   | 78318 | 0.0634          |
| 0.0207        | 10.0  | 87020 | 0.0617          |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["cuad"], "base_model": "google/bert_uncased_L-4_H-512_A-8", "model-index": [{"name": "bert-small-finetuned-cuad-longer", "results": []}]}
transformers pytorch tensorboard safetensors bert question-answering generated_from_trainer dataset:cuad base_model:google/bert_uncased_L-4_H-512_A-8 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #bert #question-answering #generated_from_trainer #dataset-cuad #base_model-google/bert_uncased_L-4_H-512_A-8 #license-apache-2.0 #endpoints_compatible #region-us 

bert-small-finetuned-cuad-longer
================================


This model is a fine-tuned version of google/bert\_uncased\_L-4\_H-512\_A-8 on the cuad dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0617


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: 10


### Training results



### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1



### 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: 10 ### Training results ### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #safetensors #bert #question-answering #generated_from_trainer #dataset-cuad #base_model-google/bert_uncased_L-4_H-512_A-8 #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: 10 ### Training results ### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #safetensors #bert #question-answering #generated_from_trainer #dataset-cuad #base_model-google/bert_uncased_L-4_H-512_A-8 #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: 10### Training results### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1