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# recipe-distilroberta-Is

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7427

## 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: 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: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 19.6191       | 1.0   | 2135  | 10.5217         |
| 8.6838        | 2.0   | 4270  | 7.3017          |
| 6.884         | 3.0   | 6405  | 6.4445          |
| 6.2953        | 4.0   | 8540  | 6.0610          |
| 6.0205        | 5.0   | 10675 | 5.9047          |
| 5.851         | 6.0   | 12810 | 5.7790          |
| 5.7464        | 7.0   | 14945 | 5.7164          |
| 5.6684        | 8.0   | 17080 | 5.6415          |
| 5.6138        | 9.0   | 19215 | 5.5671          |
| 5.5638        | 10.0  | 21350 | 5.5360          |
| 5.5288        | 11.0  | 23485 | 5.5069          |
| 5.4968        | 12.0  | 25620 | 5.4968          |
| 5.4696        | 13.0  | 27755 | 5.4539          |
| 5.4468        | 14.0  | 29890 | 5.4416          |
| 5.4177        | 15.0  | 32025 | 5.3722          |
| 5.3717        | 16.0  | 34160 | 5.3226          |
| 5.317         | 17.0  | 36295 | 5.2197          |
| 5.2367        | 18.0  | 38430 | 5.0888          |
| 5.1543        | 19.0  | 40565 | 4.9954          |
| 5.0919        | 20.0  | 42700 | 4.9306          |
| 5.038         | 21.0  | 44835 | 4.8657          |
| 4.9983        | 22.0  | 46970 | 4.8137          |
| 4.9639        | 23.0  | 49105 | 4.7704          |
| 4.9426        | 24.0  | 51240 | 4.7486          |
| 4.9312        | 25.0  | 53375 | 4.7427          |


### 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-distilroberta-Is", "results": []}]}
transformers pytorch roberta fill-mask generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

recipe-distilroberta-Is
=======================


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


* Loss: 4.7427


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: 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: 25
* mixed\_precision\_training: Native AMP


### Training results



### 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: 2e-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: 25
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


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


The following hyperparameters were used during training:


* learning\_rate: 2e-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: 25
* mixed\_precision\_training: Native AMP ### Training results ### 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 #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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: 25
* mixed\_precision\_training: Native AMP### Training results### Framework versions


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