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- Librarian Bot: Add base_model information to model (42f8e819133adb8303137c2ab83c1ac8d24b308b)


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  1. README.md +44 -51
README.md CHANGED
@@ -1,84 +1,66 @@
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  ---
 
 
 
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  tags:
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  - generated_from_trainer
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  datasets:
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  - postbot/multi-emails-hq
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  metrics:
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  - accuracy
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- model-index:
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- - name: pythia-160m-hq-emails-v4
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- results:
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- - task:
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- name: Causal Language Modeling
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- type: text-generation
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- dataset:
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- name: postbot/multi-emails-hq
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- type: postbot/multi-emails-hq
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.611281497151223
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  widget:
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- - text: >-
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- Good Morning Professor Beans,
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- Hope you are doing well. I just wanted to reach out and ask if differential
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- calculus will be on the exam
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  example_title: email to prof
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- - text: >-
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- Hey <NAME>,
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- Thank you for signing up for my weekly newsletter. Before we get started,
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- you'll have to confirm your email address.
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  example_title: newsletter
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- - text: >-
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- Hi <NAME>,
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- I hope this email finds you well. I wanted to reach out and ask about office
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- hours
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  example_title: office hours
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- - text: >-
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- Greetings <NAME>,
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- I hope you had a splendid evening at the Company sausage eating festival. I
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- am reaching out because
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  example_title: festival
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- - text: |-
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- Good Morning Harold,
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- I was wondering when the next
 
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  example_title: event
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  - text: URGENT - I need the TPS reports
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  example_title: URGENT
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- - text: |-
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- Hi Archibald,
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- I hope this email finds you extremely well.
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  example_title: emails that find you
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- - text: |-
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- Hello there.
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- I just wanted to reach out and check in to
 
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  example_title: checking in
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- - text: >-
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- Hello <NAME>,
68
 
69
 
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- I hope this email finds you well. I wanted to reach out and see if you've
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- enjoyed your time with us
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  example_title: work well
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- - text: >-
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- Hi <NAME>,
75
 
76
 
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- I hope this email finds you well. I wanted to reach out and see if we could
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- catch up
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  example_title: catch up
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- - text: >-
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- I'm <NAME> and I just moved into the area and wanted to reach out and get
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  some details on where I could get groceries and
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  example_title: grocery
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  inference:
@@ -90,10 +72,21 @@ inference:
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  top_k: 40
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  top_p: 0.95
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  repetition_penalty: 3.5
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- license: apache-2.0
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- language:
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- - en
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ---
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+ language:
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+ - en
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+ license: apache-2.0
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  tags:
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  - generated_from_trainer
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  datasets:
8
  - postbot/multi-emails-hq
9
  metrics:
10
  - accuracy
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  widget:
12
+ - text: 'Good Morning Professor Beans,
 
13
 
14
+ Hope you are doing well. I just wanted to reach out and ask if differential calculus
15
+ will be on the exam'
16
  example_title: email to prof
17
+ - text: 'Hey <NAME>,
 
18
 
19
 
20
+ Thank you for signing up for my weekly newsletter. Before we get started, you''ll
21
+ have to confirm your email address.'
22
  example_title: newsletter
23
+ - text: 'Hi <NAME>,
 
24
 
25
 
26
+ I hope this email finds you well. I wanted to reach out and ask about office hours'
 
27
  example_title: office hours
28
+ - text: 'Greetings <NAME>,
 
29
 
30
 
31
+ I hope you had a splendid evening at the Company sausage eating festival. I am
32
+ reaching out because'
33
  example_title: festival
34
+ - text: 'Good Morning Harold,
 
35
 
36
+
37
+ I was wondering when the next'
38
  example_title: event
39
  - text: URGENT - I need the TPS reports
40
  example_title: URGENT
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+ - text: 'Hi Archibald,
42
+
43
 
44
+ I hope this email finds you extremely well.'
45
  example_title: emails that find you
46
+ - text: 'Hello there.
 
47
 
48
+
49
+ I just wanted to reach out and check in to'
50
  example_title: checking in
51
+ - text: 'Hello <NAME>,
 
52
 
53
 
54
+ I hope this email finds you well. I wanted to reach out and see if you''ve enjoyed
55
+ your time with us'
56
  example_title: work well
57
+ - text: 'Hi <NAME>,
 
58
 
59
 
60
+ I hope this email finds you well. I wanted to reach out and see if we could catch
61
+ up'
62
  example_title: catch up
63
+ - text: I'm <NAME> and I just moved into the area and wanted to reach out and get
 
64
  some details on where I could get groceries and
65
  example_title: grocery
66
  inference:
 
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  top_k: 40
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  top_p: 0.95
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  repetition_penalty: 3.5
 
 
 
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  pipeline_tag: text-generation
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+ base_model: EleutherAI/pythia-160m-deduped
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+ model-index:
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+ - name: pythia-160m-hq-emails-v4
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Causal Language Modeling
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+ dataset:
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+ name: postbot/multi-emails-hq
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+ type: postbot/multi-emails-hq
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+ metrics:
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+ - type: accuracy
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+ value: 0.611281497151223
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+ name: Accuracy
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  ---
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