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# bert-small-finetuned-finetuned-parsed-longer100

This model is a fine-tuned version of [muhtasham/bert-small-finetuned-finetuned-parsed-longer50](https://huggingface.co/muhtasham/bert-small-finetuned-finetuned-parsed-longer50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6346

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 4    | 2.9464          |
| No log        | 2.0   | 8    | 2.6667          |
| No log        | 3.0   | 12   | 3.2662          |
| No log        | 4.0   | 16   | 2.6736          |
| No log        | 5.0   | 20   | 2.6334          |
| No log        | 6.0   | 24   | 2.6909          |
| No log        | 7.0   | 28   | 3.0811          |
| No log        | 8.0   | 32   | 2.8795          |
| No log        | 9.0   | 36   | 3.3654          |
| No log        | 10.0  | 40   | 3.0057          |
| No log        | 11.0  | 44   | 3.1018          |
| No log        | 12.0  | 48   | 3.1129          |
| No log        | 13.0  | 52   | 2.7815          |
| No log        | 14.0  | 56   | 3.2128          |
| No log        | 15.0  | 60   | 2.9875          |
| No log        | 16.0  | 64   | 2.8669          |
| No log        | 17.0  | 68   | 2.8407          |
| No log        | 18.0  | 72   | 3.1196          |
| No log        | 19.0  | 76   | 2.5720          |
| No log        | 20.0  | 80   | 3.0325          |
| No log        | 21.0  | 84   | 3.0881          |
| No log        | 22.0  | 88   | 2.9000          |
| No log        | 23.0  | 92   | 2.9910          |
| No log        | 24.0  | 96   | 3.0480          |
| No log        | 25.0  | 100  | 3.0548          |
| No log        | 26.0  | 104  | 2.8290          |
| No log        | 27.0  | 108  | 2.8719          |
| No log        | 28.0  | 112  | 2.8277          |
| No log        | 29.0  | 116  | 2.7475          |
| No log        | 30.0  | 120  | 2.8492          |
| No log        | 31.0  | 124  | 2.6641          |
| No log        | 32.0  | 128  | 2.9369          |
| No log        | 33.0  | 132  | 2.8731          |
| No log        | 34.0  | 136  | 3.0025          |
| No log        | 35.0  | 140  | 2.9952          |
| No log        | 36.0  | 144  | 2.7866          |
| No log        | 37.0  | 148  | 3.0046          |
| No log        | 38.0  | 152  | 2.6468          |
| No log        | 39.0  | 156  | 2.8889          |
| No log        | 40.0  | 160  | 2.6865          |
| No log        | 41.0  | 164  | 2.5635          |
| No log        | 42.0  | 168  | 2.5147          |
| No log        | 43.0  | 172  | 2.6985          |
| No log        | 44.0  | 176  | 2.7966          |
| No log        | 45.0  | 180  | 3.0184          |
| No log        | 46.0  | 184  | 3.1892          |
| No log        | 47.0  | 188  | 3.1066          |
| No log        | 48.0  | 192  | 2.9969          |
| No log        | 49.0  | 196  | 2.8919          |
| No log        | 50.0  | 200  | 2.6346          |


### 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"], "model-index": [{"name": "bert-small-finetuned-finetuned-parsed-longer100", "results": []}]}
transformers pytorch tensorboard bert fill-mask generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

bert-small-finetuned-finetuned-parsed-longer100
===============================================


This model is a fine-tuned version of muhtasham/bert-small-finetuned-finetuned-parsed-longer50 on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 2.6346


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: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50


### 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: 128
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### 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 #bert #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: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### 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 #bert #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: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50### Training results### Framework versions


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