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# kaz_legal_bert_5

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8262

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 8.1161        | 0.08  | 1000  | 7.7116          |
| 7.6258        | 0.17  | 2000  | 7.4606          |
| 7.4268        | 0.25  | 3000  | 7.3184          |
| 7.2837        | 0.34  | 4000  | 7.2020          |
| 7.1969        | 0.42  | 5000  | 7.1236          |
| 7.1201        | 0.5   | 6000  | 7.0599          |
| 7.0683        | 0.59  | 7000  | 6.9990          |
| 6.9956        | 0.67  | 8000  | 6.9369          |
| 6.9392        | 0.76  | 9000  | 6.8828          |
| 6.8949        | 0.84  | 10000 | 6.8263          |
| 6.8437        | 0.92  | 11000 | 6.7913          |
| 6.8027        | 1.01  | 12000 | 6.7392          |
| 6.7539        | 1.09  | 13000 | 6.7010          |
| 6.7316        | 1.18  | 14000 | 6.6663          |
| 6.6853        | 1.26  | 15000 | 6.6338          |
| 6.6449        | 1.34  | 16000 | 6.6004          |
| 6.6188        | 1.43  | 17000 | 6.5463          |
| 6.5831        | 1.51  | 18000 | 6.5042          |
| 6.5498        | 1.6   | 19000 | 6.4581          |
| 6.5116        | 1.68  | 20000 | 6.4205          |
| 6.4579        | 1.77  | 21000 | 6.3473          |
| 6.3996        | 1.85  | 22000 | 6.2794          |
| 6.3358        | 1.93  | 23000 | 6.2082          |
| 6.2827        | 2.02  | 24000 | 6.1448          |
| 6.2381        | 2.1   | 25000 | 6.0923          |
| 6.1947        | 2.19  | 26000 | 6.0460          |
| 6.1479        | 2.27  | 27000 | 6.0002          |
| 6.1095        | 2.35  | 28000 | 5.9537          |
| 6.0669        | 2.44  | 29000 | 5.9139          |
| 6.0411        | 2.52  | 30000 | 5.8827          |
| 6.0081        | 2.61  | 31000 | 5.8454          |
| 5.9939        | 2.69  | 32000 | 5.8276          |
| 5.9714        | 2.77  | 33000 | 5.8060          |
| 5.9524        | 2.86  | 34000 | 5.7878          |
| 5.9357        | 2.94  | 35000 | 5.7772          |
| 5.9705        | 3.03  | 36000 | 5.7964          |
| 5.9276        | 3.11  | 37000 | 5.7410          |
| 5.8802        | 3.19  | 38000 | 5.6813          |
| 5.8342        | 3.28  | 39000 | 5.6268          |
| 5.786         | 3.36  | 40000 | 5.5729          |
| 5.7328        | 3.45  | 41000 | 5.5030          |
| 5.6604        | 3.53  | 42000 | 5.4495          |
| 5.6102        | 3.61  | 43000 | 5.3746          |
| 5.5296        | 3.7   | 44000 | 5.3149          |
| 5.4876        | 3.78  | 45000 | 5.2536          |
| 5.417         | 3.87  | 46000 | 5.2004          |
| 5.3665        | 3.95  | 47000 | 5.1488          |
| 5.3131        | 4.03  | 48000 | 5.0948          |
| 5.2697        | 4.12  | 49000 | 5.0538          |
| 5.2307        | 4.2   | 50000 | 5.0139          |
| 5.1975        | 4.29  | 51000 | 4.9757          |
| 5.1506        | 4.37  | 52000 | 4.9439          |
| 5.1285        | 4.45  | 53000 | 4.9238          |
| 5.1009        | 4.54  | 54000 | 4.8900          |
| 5.072         | 4.62  | 55000 | 4.8735          |
| 5.0533        | 4.71  | 56000 | 4.8548          |
| 5.0412        | 4.79  | 57000 | 4.8421          |
| 5.0319        | 4.88  | 58000 | 4.8326          |
| 5.0119        | 4.96  | 59000 | 4.8262          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "model-index": [{"name": "kaz_legal_bert_5", "results": []}]}
transformers pytorch bert fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #fill-mask #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

kaz\_legal\_bert\_5
===================


This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 4.8262


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: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 32
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 32
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #bert #fill-mask #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 32
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #bert #fill-mask #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 32
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5### Training results### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3