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# nb-bert-base-ctr-regression

This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0073
- Mse: 0.0073

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Mse    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0106        | 1.0   | 1103  | 0.0069          | 0.0069 |
| 0.0073        | 2.0   | 2206  | 0.0072          | 0.0072 |
| 0.0058        | 3.0   | 3309  | 0.0063          | 0.0063 |
| 0.0038        | 4.0   | 4412  | 0.0073          | 0.0073 |
| 0.0025        | 5.0   | 5515  | 0.0064          | 0.0064 |
| 0.0019        | 6.0   | 6618  | 0.0065          | 0.0065 |
| 0.0014        | 7.0   | 7721  | 0.0066          | 0.0066 |
| 0.0011        | 8.0   | 8824  | 0.0067          | 0.0067 |
| 0.0008        | 9.0   | 9927  | 0.0066          | 0.0066 |
| 0.0007        | 10.0  | 11030 | 0.0066          | 0.0066 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.2+cu113
- Datasets 1.18.4
- Tokenizers 0.12.1

{"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "NbAiLab/nb-bert-base", "model-index": [{"name": "nb-bert-base-ctr-regression", "results": []}]}
transformers pytorch safetensors bert text-classification generated_from_trainer base_model:NbAiLab/nb-bert-base license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #text-classification #generated_from_trainer #base_model-NbAiLab/nb-bert-base #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 

nb-bert-base-ctr-regression
===========================


This model is a fine-tuned version of NbAiLab/nb-bert-base on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0073
* Mse: 0.0073


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: 3e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.2+cu113
* Datasets 1.18.4
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.2+cu113
* Datasets 1.18.4
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #safetensors #bert #text-classification #generated_from_trainer #base_model-NbAiLab/nb-bert-base #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.2+cu113
* Datasets 1.18.4
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #safetensors #bert #text-classification #generated_from_trainer #base_model-NbAiLab/nb-bert-base #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 10
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.2+cu113
* Datasets 1.18.4
* Tokenizers 0.12.1