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# kaz_legal_bert_full__1000000_wc__0.4_epoch

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- epoch: 0.38
- eval_loss: nan
- eval_runtime: 8161.8113
- eval_samples_per_second: 56.629
- eval_steps_per_second: 14.157
- step: 90000

## 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: 3

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "model-index": [{"name": "kaz_legal_bert_full__1000000_wc__0.4_epoch", "results": []}]}
transformers pytorch bert pretraining generated_from_trainer endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #pretraining #generated_from_trainer #endpoints_compatible #region-us 




# kaz_legal_bert_full__1000000_wc__0.4_epoch

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- epoch: 0.38
- eval_loss: nan
- eval_runtime: 8161.8113
- eval_samples_per_second: 56.629
- eval_steps_per_second: 14.157
- step: 90000

## 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: 3

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

# kaz_legal_bert_full__1000000_wc__0.4_epoch

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- epoch: 0.38
- eval_loss: nan
- eval_runtime: 8161.8113
- eval_samples_per_second: 56.629
- eval_steps_per_second: 14.157
- step: 90000 ## 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: 3 ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #bert #pretraining #generated_from_trainer #endpoints_compatible #region-us 
 # kaz_legal_bert_full__1000000_wc__0.4_epoch

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- epoch: 0.38
- eval_loss: nan
- eval_runtime: 8161.8113
- eval_samples_per_second: 56.629
- eval_steps_per_second: 14.157
- step: 90000 ## 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: 3 ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3