README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
widget:
  - text: >-
      House Dem Aide: We Didn’t Even See Comey’s Letter Until Jason Chaffetz
      Tweeted ItHouse Dem Aide: We Didn’t Even See Comey’s Letter Until Jason
      Chaffetz Tweeted It By Darrell Lucus on October 30, 2016 Subscribe Jason
      Chaffetz on the stump in American Fork, Utah ( image courtesy Michael
      Jolley, available under a Creative Commons-BY license) With apologies to
      Keith Olbermann, there is no doubt who the Worst Person in The World is
      this week–FBI Director James Comey. But according to a House Democratic
      aide, it looks like we also know who the second-worst person is as well.
      It turns out that when Comey sent his now-infamous letter announcing that
      the FBI was looking into emails that may be related to Hillary Clinton’s
      email server, the ranking Democrats on the relevant committees didn’t hear
      about it from Comey. They found out via a tweet from one of the Republican
      committee chairmen. As we now know, Comey notified the Republican chairmen
      and Democratic ranking members of the House Intelligence, Judiciary, and
      Oversight committees that his agency was reviewing emails it had recently
      discovered in order to see if they contained classified information. Not
      long after this letter went out, Oversight Committee Chairman Jason
      Chaffetz set the political world ablaze with this tweet. FBI Dir just
      informed me, The FBI has learned of the existence of emails that appear to
      be pertinent to the investigation. Case reopened 
metrics:
  - accuracy
model-index:
  - name: fatima_task_nlp
    results: []

fatima_task_nlp

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

• Loss: 0.0011
• Accuracy: 0.9998

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0024	1.0	2245	0.0027	0.9997
0.0	2.0	4490	0.0011	0.9998

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2