
# distilbert-base-uncased-finetuned-sst2

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the sst2 dataset.

This model has been fine-tuned for an exercise in the face hugging class course.

It achieves the following results on the evaluation set:
- Accuracy: 0.90

{"language": ["en"], "license": "mit", "datasets": ["sst2"], "metrics": ["accuracy"], "pipeline_tag": "text-classification", "widget": [{"text": "it 's just incredibly dull .", "example_title": "Example 1"}], "base_model": "distilbert-base-uncased"}
transformers pytorch tensorboard safetensors distilbert text-classification en dataset:sst2 base_model:distilbert-base-uncased license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #distilbert #text-classification #en #dataset-sst2 #base_model-distilbert-base-uncased #license-mit #autotrain_compatible #endpoints_compatible #region-us 


# distilbert-base-uncased-finetuned-sst2

This model is a fine-tuned version of distilbert-base-uncased on the sst2 dataset.

This model has been fine-tuned for an exercise in the face hugging class course.

It achieves the following results on the evaluation set:
- Accuracy: 0.90

# distilbert-base-uncased-finetuned-sst2

This model is a fine-tuned version of distilbert-base-uncased on the sst2 dataset.

This model has been fine-tuned for an exercise in the face hugging class course.

It achieves the following results on the evaluation set:
- Accuracy: 0.90
TAGS
#transformers #pytorch #tensorboard #safetensors #distilbert #text-classification #en #dataset-sst2 #base_model-distilbert-base-uncased #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # distilbert-base-uncased-finetuned-sst2

This model is a fine-tuned version of distilbert-base-uncased on the sst2 dataset.

This model has been fine-tuned for an exercise in the face hugging class course.

It achieves the following results on the evaluation set:
- Accuracy: 0.90
TAGS
#transformers #pytorch #tensorboard #safetensors #distilbert #text-classification #en #dataset-sst2 #base_model-distilbert-base-uncased #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# distilbert-base-uncased-finetuned-sst2

This model is a fine-tuned version of distilbert-base-uncased on the sst2 dataset.

This model has been fine-tuned for an exercise in the face hugging class course.

It achieves the following results on the evaluation set:
- Accuracy: 0.90