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# smashing-sexism-weighted-loss

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5047
- eval_runtime: 15.4197
- eval_samples_per_second: 505.975
- eval_steps_per_second: 7.912
- epoch: 4.1
- step: 2000

## 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: 64
- eval_batch_size: 64
- 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-weighted-loss", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 




# smashing-sexism-weighted-loss

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5047
- eval_runtime: 15.4197
- eval_samples_per_second: 505.975
- eval_steps_per_second: 7.912
- epoch: 4.1
- step: 2000

## 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: 64
- eval_batch_size: 64
- 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-weighted-loss

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5047
- eval_runtime: 15.4197
- eval_samples_per_second: 505.975
- eval_steps_per_second: 7.912
- epoch: 4.1
- step: 2000 ## 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: 64
- eval_batch_size: 64
- 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 #distilbert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 # smashing-sexism-weighted-loss

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5047
- eval_runtime: 15.4197
- eval_samples_per_second: 505.975
- eval_steps_per_second: 7.912
- epoch: 4.1
- step: 2000 ## 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: 64
- eval_batch_size: 64
- 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 #distilbert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
# smashing-sexism-weighted-loss

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5047
- eval_runtime: 15.4197
- eval_samples_per_second: 505.975
- eval_steps_per_second: 7.912
- epoch: 4.1
- step: 2000## 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: 64
- eval_batch_size: 64
- 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