Sentiment_Analysis_of_Movie_Review.

This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on evaluation set:

'eval_loss': 0.6932001113891602,
 'eval_accuracy': 0.5,
 'eval_runtime': 242.9746,
 'eval_samples_per_second': 20.578,
 'eval_steps_per_second': 2.572}
{"metrics": ["accuracy"]}
transformers pytorch tensorboard bert text-classification autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 

Sentiment_Analysis_of_Movie_Review.

This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on evaluation set:

'eval_loss': 0.6932001113891602,
 'eval_accuracy': 0.5,
 'eval_runtime': 242.9746,
 'eval_samples_per_second': 20.578,
 'eval_steps_per_second': 2.572}
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 

TAGS
#transformers #pytorch #tensorboard #bert #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 
