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# recipe-lr5e05-wd0.02-bs32

This model is a fine-tuned version of [paola-md/recipe-distilroberta-Is](https://huggingface.co/paola-md/recipe-distilroberta-Is) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2738
- Rmse: 0.5232
- Mse: 0.2738
- Mae: 0.4117

## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- 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 | Rmse   | Mse    | Mae    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 0.2788        | 1.0   | 1245 | 0.2766          | 0.5259 | 0.2766 | 0.4212 |
| 0.2757        | 2.0   | 2490 | 0.2777          | 0.5270 | 0.2777 | 0.4271 |
| 0.2741        | 3.0   | 3735 | 0.2745          | 0.5239 | 0.2745 | 0.4202 |
| 0.2725        | 4.0   | 4980 | 0.2760          | 0.5254 | 0.2760 | 0.4030 |
| 0.2711        | 5.0   | 6225 | 0.2752          | 0.5246 | 0.2752 | 0.4186 |
| 0.2692        | 6.0   | 7470 | 0.2738          | 0.5232 | 0.2738 | 0.4117 |


### Test results
Using the model saved for 4 epochs, we achived the following results on the test set:
```
{
    "test_mae": 0.39440343575349946,
    "test_runtime": 22.6921,
    "test_samples_per_second": 866.867,
    "test_steps_per_second": 6.787
}
```


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "recipe-lr5e05-wd0.02-bs32", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

recipe-lr5e05-wd0.02-bs32
=========================


This model is a fine-tuned version of paola-md/recipe-distilroberta-Is on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2738
* Rmse: 0.5232
* Mse: 0.2738
* Mae: 0.4117


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: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Test results


Using the model saved for 4 epochs, we achived the following results on the test set:


### Framework versions


* Transformers 4.19.0.dev0
* Pytorch 1.9.0+cu111
* Datasets 2.4.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Test results


Using the model saved for 4 epochs, we achived the following results on the test set: ### Framework versions


* Transformers 4.19.0.dev0
* Pytorch 1.9.0+cu111
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Test results


Using the model saved for 4 epochs, we achived the following results on the test set: ### Framework versions


* Transformers 4.19.0.dev0
* Pytorch 1.9.0+cu111
* Datasets 2.4.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10### Training results### Test results


Using the model saved for 4 epochs, we achived the following results on the test set:### Framework versions


* Transformers 4.19.0.dev0
* Pytorch 1.9.0+cu111
* Datasets 2.4.0
* Tokenizers 0.12.1