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# finetuned_distilgpt2_sst2_negation0.0_pretrainedTrue_epochs0

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the sst2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.6217
- eval_runtime: 0.9515
- eval_samples_per_second: 193.385
- eval_steps_per_second: 24.173
- step: 0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0

### Framework versions

- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["sst2"], "model-index": [{"name": "finetuned_distilgpt2_sst2_negation0.0_pretrainedTrue_epochs0", "results": []}]}
transformers pytorch tensorboard gpt2 text-generation generated_from_trainer dataset:sst2 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #dataset-sst2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# finetuned_distilgpt2_sst2_negation0.0_pretrainedTrue_epochs0

This model is a fine-tuned version of distilgpt2 on the sst2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.6217
- eval_runtime: 0.9515
- eval_samples_per_second: 193.385
- eval_steps_per_second: 24.173
- step: 0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0

### Framework versions

- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2

# finetuned_distilgpt2_sst2_negation0.0_pretrainedTrue_epochs0

This model is a fine-tuned version of distilgpt2 on the sst2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.6217
- eval_runtime: 0.9515
- eval_samples_per_second: 193.385
- eval_steps_per_second: 24.173
- step: 0 ## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0 ### Framework versions

- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #dataset-sst2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # finetuned_distilgpt2_sst2_negation0.0_pretrainedTrue_epochs0

This model is a fine-tuned version of distilgpt2 on the sst2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.6217
- eval_runtime: 0.9515
- eval_samples_per_second: 193.385
- eval_steps_per_second: 24.173
- step: 0 ## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0 ### Framework versions

- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #dataset-sst2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# finetuned_distilgpt2_sst2_negation0.0_pretrainedTrue_epochs0

This model is a fine-tuned version of distilgpt2 on the sst2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.6217
- eval_runtime: 0.9515
- eval_samples_per_second: 193.385
- eval_steps_per_second: 24.173
- step: 0## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0### Framework versions

- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2