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# HiNER-collapsed-muril-base-cased

This model was trained from scratch on the cfilt/HiNER-collapsed dataset.

## 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: 16
- eval_batch_size: 8
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Framework versions

- Transformers 4.14.0
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3

{"tags": ["generated_from_trainer"], "datasets": ["cfilt/HiNER-collapsed"], "metrics": ["precision", "recall", "f1"], "model-index": [{"name": "HiNER-collapsed-muril-base-cased", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "HiNER Collapsed", "type": "cfilt/HiNER-collapsed"}, "metrics": [{"type": "precision", "value": 0.9049101352603298, "name": "Precision"}, {"type": "recall", "value": 0.9209156735555891, "name": "Recall"}, {"type": "f1", "value": 0.9128427506027924, "name": "F1"}]}]}]}
transformers pytorch tensorboard bert token-classification generated_from_trainer dataset:cfilt/HiNER-collapsed model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #dataset-cfilt/HiNER-collapsed #model-index #autotrain_compatible #endpoints_compatible #region-us 




# HiNER-collapsed-muril-base-cased

This model was trained from scratch on the cfilt/HiNER-collapsed dataset.

## 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: 16
- eval_batch_size: 8
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Framework versions

- Transformers 4.14.0
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3

# HiNER-collapsed-muril-base-cased

This model was trained from scratch on the cfilt/HiNER-collapsed dataset. ## 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: 16
- eval_batch_size: 8
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0 ### Framework versions

- Transformers 4.14.0
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #dataset-cfilt/HiNER-collapsed #model-index #autotrain_compatible #endpoints_compatible #region-us 
 # HiNER-collapsed-muril-base-cased

This model was trained from scratch on the cfilt/HiNER-collapsed dataset. ## 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: 16
- eval_batch_size: 8
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0 ### Framework versions

- Transformers 4.14.0
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #dataset-cfilt/HiNER-collapsed #model-index #autotrain_compatible #endpoints_compatible #region-us 
# HiNER-collapsed-muril-base-cased

This model was trained from scratch on the cfilt/HiNER-collapsed dataset.## 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: 16
- eval_batch_size: 8
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0### Framework versions

- Transformers 4.14.0
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3