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# smashing-sexism-robert-large

This model is a fine-tuned version of [nan-dre/smashing-sexism-robert-large](https://huggingface.co/nan-dre/smashing-sexism-robert-large) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6996
- eval_runtime: 106.0752
- eval_samples_per_second: 73.552
- eval_steps_per_second: 4.601
- epoch: 2.31
- step: 4500

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "model-index": [{"name": "smashing-sexism-robert-large", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 




# smashing-sexism-robert-large

This model is a fine-tuned version of nan-dre/smashing-sexism-robert-large on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6996
- eval_runtime: 106.0752
- eval_samples_per_second: 73.552
- eval_steps_per_second: 4.601
- epoch: 2.31
- step: 4500

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2

# smashing-sexism-robert-large

This model is a fine-tuned version of nan-dre/smashing-sexism-robert-large on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6996
- eval_runtime: 106.0752
- eval_samples_per_second: 73.552
- eval_steps_per_second: 4.601
- epoch: 2.31
- step: 4500 ## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10 ### Framework versions

- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 # smashing-sexism-robert-large

This model is a fine-tuned version of nan-dre/smashing-sexism-robert-large on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6996
- eval_runtime: 106.0752
- eval_samples_per_second: 73.552
- eval_steps_per_second: 4.601
- epoch: 2.31
- step: 4500 ## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10 ### Framework versions

- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2