### distilbert-base-uncased-finetuned-btc for PH66 Unwanted Event

- This is our initial attempt on using the transformers for BTC-PH66.

- This test file used in this model are in projects with Ids [1065,  950,  956, 2650]. The other 4 projects were not included as they resulted very low accuracy with ML models.
- The data was preprocessed to remove duplicates, and cases where the same cause-conseq has a different Unwanted Event
- Next Model: Improve the hyper-parameters of the model
{}
transformers pytorch tensorboard distilbert text-classification autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 

### distilbert-base-uncased-finetuned-btc for PH66 Unwanted Event

- This is our initial attempt on using the transformers for BTC-PH66.

- This test file used in this model are in projects with Ids [1065,  950,  956, 2650]. The other 4 projects were not included as they resulted very low accuracy with ML models.
- The data was preprocessed to remove duplicates, and cases where the same cause-conseq has a different Unwanted Event
- Next Model: Improve the hyper-parameters of the model
### distilbert-base-uncased-finetuned-btc for PH66 Unwanted Event

- This is our initial attempt on using the transformers for BTC-PH66.

- This test file used in this model are in projects with Ids [1065,  950,  956, 2650]. The other 4 projects were not included as they resulted very low accuracy with ML models.
- The data was preprocessed to remove duplicates, and cases where the same cause-conseq has a different Unwanted Event
- Next Model: Improve the hyper-parameters of the model
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### distilbert-base-uncased-finetuned-btc for PH66 Unwanted Event

- This is our initial attempt on using the transformers for BTC-PH66.

- This test file used in this model are in projects with Ids [1065,  950,  956, 2650]. The other 4 projects were not included as they resulted very low accuracy with ML models.
- The data was preprocessed to remove duplicates, and cases where the same cause-conseq has a different Unwanted Event
- Next Model: Improve the hyper-parameters of the model
passage: TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 
### distilbert-base-uncased-finetuned-btc for PH66 Unwanted Event

- This is our initial attempt on using the transformers for BTC-PH66.

- This test file used in this model are in projects with Ids [1065,  950,  956, 2650]. The other 4 projects were not included as they resulted very low accuracy with ML models.
- The data was preprocessed to remove duplicates, and cases where the same cause-conseq has a different Unwanted Event
- Next Model: Improve the hyper-parameters of the model