piotr-szleg-bards-ai commited on
Commit
e879520
1 Parent(s): 4cb217b

2024-02-06 11:35:44 Publish script update

Browse files
app.py CHANGED
@@ -36,8 +36,13 @@ In order to count tokens we split the output string by whitespace \w regex char
36
  When it comes to pricing most providers charge per token count, while HuggingFace Endpoints allow the user to choose machine type and host the model repository on it. The user is then charged by the running time of the machine. In this project we attempted to use HF Endpoints as much as possible due to their popularity and transparency of how the model is executed.
37
  """
38
 
 
 
 
 
 
39
  summary_df: pd.DataFrame = pd.read_csv("data/2024-02-05 23:33:22.947120_summary.csv")
40
- time_of_day_comparison_df = pd.read_csv("data/2024-02-03 22:33:36.957992_time_of_day_comparison.csv")
41
  general_plots = pd.read_csv("data/2024-02-05 12:03:42.452218_general_plot.csv")
42
  model_costs_df = pd.read_csv("data/2024-02-05 12:03:45.281624_model_costs.csv")
43
 
@@ -155,6 +160,7 @@ with gr.Blocks() as demo:
155
  with gr.Tab("Preformance by time of the day"):
156
  time_of_day_comparison_ui = gr.DataFrame(dataframe_style(time_of_day_comparison_df), label="Time of day")
157
  time_of_day_plot_ui = gr.Plot(time_of_day_plot, label="Time of the day plot", scale=1)
 
158
  gr.Markdown("""
159
  These measurements were made by testing the models using the same dataset as in the other comparisons every hour for 24 hours.
160
 
 
36
  When it comes to pricing most providers charge per token count, while HuggingFace Endpoints allow the user to choose machine type and host the model repository on it. The user is then charged by the running time of the machine. In this project we attempted to use HF Endpoints as much as possible due to their popularity and transparency of how the model is executed.
37
  """
38
 
39
+ time_periods_explanation_df = pd.DataFrame({
40
+ 'name': ["early morning", "morning", "afternoon", "late afternoon", "evening", "late evening", "midnight", "night"],
41
+ 'hour_range': ["6-8", "9-11", "12-14", "15-17", "18-20", "21-23", "0-2", "3-5"]
42
+ })
43
+
44
  summary_df: pd.DataFrame = pd.read_csv("data/2024-02-05 23:33:22.947120_summary.csv")
45
+ time_of_day_comparison_df = pd.read_csv("data/2024-02-06 09:49:19.637072_time_of_day_comparison.csv")
46
  general_plots = pd.read_csv("data/2024-02-05 12:03:42.452218_general_plot.csv")
47
  model_costs_df = pd.read_csv("data/2024-02-05 12:03:45.281624_model_costs.csv")
48
 
 
160
  with gr.Tab("Preformance by time of the day"):
161
  time_of_day_comparison_ui = gr.DataFrame(dataframe_style(time_of_day_comparison_df), label="Time of day")
162
  time_of_day_plot_ui = gr.Plot(time_of_day_plot, label="Time of the day plot", scale=1)
163
+ time_periods_explanation_ui = gr.DataFrame(dataframe_style(time_periods_explanation_df), label="Times of day ranges")
164
  gr.Markdown("""
165
  These measurements were made by testing the models using the same dataset as in the other comparisons every hour for 24 hours.
166
 
data/2024-02-06 07:53:19.636658_time_of_day_comparison.csv ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,time_of_day,execution_time,characters_count,words_count
2
+ Mistral-7B-Instruct-v0.2,0-2 midnight,1.9149879813194275,37.8,2.95
3
+ Mistral-7B-Instruct-v0.2,12-14 afternoon,3.228973722457886,222.0625,32.25
4
+ Mistral-7B-Instruct-v0.2,15-17 late afternoon,3.2048643112182615,219.8625,31.8
5
+ Mistral-7B-Instruct-v0.2,18-20 evening,3.397640073299408,261.18333333333334,40.1
6
+ Mistral-7B-Instruct-v0.2,21-23 late evening,3.389284573495388,175.79375,25.68125
7
+ Mistral-7B-Instruct-v0.2,3-5 night,,,
8
+ Mistral-7B-Instruct-v0.2,6-8 early morning,,,
9
+ Mistral-7B-Instruct-v0.2,9-11 morning,3.734026002883911,362.9,58.35
10
+ Mixtral-8x7B-Instruct-v0.1,0-2 midnight,4.639010797279158,323.0394736842105,42.69210526315789
11
+ Mixtral-8x7B-Instruct-v0.1,12-14 afternoon,5.362903979589355,369.3192307692308,54.353846153846156
12
+ Mixtral-8x7B-Instruct-v0.1,15-17 late afternoon,5.80184749175942,347.9681818181818,47.27272727272727
13
+ Mixtral-8x7B-Instruct-v0.1,18-20 evening,3.6435119574237023,326.69,48.545
14
+ Mixtral-8x7B-Instruct-v0.1,21-23 late evening,5.62397656769588,395.15714285714284,49.02857142857143
15
+ Mixtral-8x7B-Instruct-v0.1,3-5 night,4.009439338194697,301.24545454545455,42.21818181818182
16
+ Mixtral-8x7B-Instruct-v0.1,6-8 early morning,4.526968242530536,285.045,41.86
17
+ Mixtral-8x7B-Instruct-v0.1,9-11 morning,3.9661054956285575,304.82,47.28
18
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,0-2 midnight,1.6341248273849487,210.2,34.2
19
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,12-14 afternoon,1.8381905496120452,308.795,51.08
20
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,15-17 late afternoon,1.7547113946505954,285.17857142857144,46.9
21
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,18-20 evening,1.7984187936782836,313.99,51.96
22
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,21-23 late evening,1.5875422928068372,192.78333333333333,31.261111111111113
23
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,3-5 night,2.0128010153770446,372.05,62.6
24
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,6-8 early morning,2.0273348593711855,372.13,62.53
25
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,9-11 morning,1.9041210174560548,372.05,62.6
26
+ chat-bison,0-2 midnight,3.890243631601334,398.075,49.0
27
+ chat-bison (PaLM 2),0-2 midnight,2.468383938074112,381.95,60.9
28
+ chat-bison (PaLM 2),12-14 afternoon,2.6460144804074215,376.28076923076924,55.965384615384615
29
+ chat-bison (PaLM 2),15-17 late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545
30
+ chat-bison (PaLM 2),18-20 evening,2.688272579908371,367.07,55.89
31
+ chat-bison (PaLM 2),21-23 late evening,2.7250528037548065,382.725,52.95
32
+ chat-bison (PaLM 2),3-5 night,2.460119960308075,381.92,60.94
33
+ chat-bison (PaLM 2),6-8 early morning,2.4665334616388592,381.9214285714286,60.892857142857146
34
+ chat-bison (PaLM 2),9-11 morning,2.488477897644043,381.73,60.88
35
+ chat-bison-32k,0-2 midnight,4.128177767992019,389.925,48.025
36
+ chat-bison-32k (PaLM 2 32K),0-2 midnight,7.7498266498247785,335.75,53.85
37
+ chat-bison-32k (PaLM 2 32K),12-14 afternoon,5.014458654477046,339.3692307692308,49.323076923076925
38
+ chat-bison-32k (PaLM 2 32K),15-17 late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545
39
+ chat-bison-32k (PaLM 2 32K),18-20 evening,7.7332194912433625,329.46,49.5
40
+ chat-bison-32k (PaLM 2 32K),21-23 late evening,7.796841062307358,349.95,47.805
41
+ chat-bison-32k (PaLM 2 32K),3-5 night,6.491292915344238,335.75,53.85
42
+ chat-bison-32k (PaLM 2 32K),6-8 early morning,9.141417106560299,335.75,53.85
43
+ chat-bison-32k (PaLM 2 32K),9-11 morning,7.7035503840446475,335.75,53.85
44
+ gemini-pro,0-2 midnight,3.338477972348531,369.825,55.9125
45
+ gemini-pro,12-14 afternoon,2.816922114008949,360.62307692307695,53.25769230769231
46
+ gemini-pro,15-17 late afternoon,2.9268629640903114,364.57272727272726,50.1
47
+ gemini-pro,18-20 evening,2.86901999375759,366.4,55.045
48
+ gemini-pro,21-23 late evening,3.7189874940246117,390.9142857142857,51.35
49
+ gemini-pro,3-5 night,2.8375814715210272,374.8,60.04
50
+ gemini-pro,6-8 early morning,2.7453590130460435,381.2214285714286,60.964285714285715
51
+ gemini-pro,9-11 morning,2.497767536007628,371.93,59.39
52
+ gpt-3.5-turbo,0-2 midnight,3.822115447632102,426.71923076923076,49.05
53
+ gpt-3.5-turbo,12-14 afternoon,3.9458200880459375,381.4428571428571,43.76190476190476
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+ gpt-3.5-turbo,15-17 late afternoon,4.384064777692159,396.4357142857143,43.28333333333333
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+ gpt-3.5-turbo,18-20 evening,3.5153889304115657,385.18095238095236,46.01428571428571
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+ gpt-3.5-turbo,21-23 late evening,5.110168156187617,422.73510971786834,45.358934169278996
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+ gpt-3.5-turbo,3-5 night,6.062970260473398,418.6192307692308,44.926923076923075
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+ gpt-3.5-turbo,6-8 early morning,3.787998208734724,403.74444444444447,47.34444444444444
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+ gpt-3.5-turbo,9-11 morning,3.126271222697364,389.9888888888889,50.93888888888889
60
+ gpt-4,0-2 midnight,12.3578163115329,334.075,41.35
61
+ gpt-4,12-14 afternoon,16.002364798386893,318.3095238095238,38.77142857142857
62
+ gpt-4,15-17 late afternoon,16.80607506932254,313.3595238095238,37.49285714285714
63
+ gpt-4,18-20 evening,13.841120740345547,318.0809523809524,40.19285714285714
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+ gpt-4,21-23 late evening,14.298642643005493,314.336,37.012
65
+ gpt-4,3-5 night,12.813134506115546,316.93461538461537,37.93076923076923
66
+ gpt-4,6-8 early morning,14.348626694414351,323.5388888888889,40.544444444444444
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+ gpt-4,9-11 morning,12.759107512468733,338.18333333333334,46.85
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+ gpt-4-turbo,0-2 midnight,13.770663784850727,382.7613636363636,47.61818181818182
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+ gpt-4-turbo,12-14 afternoon,13.997754749229976,351.01190476190476,46.03333333333333
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+ gpt-4-turbo,15-17 late afternoon,22.320911452883767,381.65714285714284,47.35476190476191
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+ gpt-4-turbo,18-20 evening,16.550320884159632,382.31666666666666,48.45
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+ gpt-4-turbo,21-23 late evening,14.592236209392548,413.61,44.8
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+ gpt-4-turbo,3-5 night,14.254795966698573,352.54615384615386,46.37692307692308
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+ gpt-4-turbo,6-8 early morning,11.555620827939775,357.65555555555557,47.21666666666667
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+ gpt-4-turbo,9-11 morning,13.686854598257277,381.8888888888889,55.02777777777778
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+ llama-2-70b-chat,0-2 midnight,3.249819871626402,346.8875,52.06875
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+ llama-2-70b-chat,12-14 afternoon,4.234376892130426,375.44615384615383,55.238461538461536
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+ llama-2-70b-chat,15-17 late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545
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+ llama-2-70b-chat,18-20 evening,2.9706250462084185,317.245,47.4
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+ llama-2-70b-chat,21-23 late evening,4.719581684340602,572.1689655172414,79.83103448275862
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+ llama-2-70b-chat,3-5 night,2.8264514451677147,313.71,48.42
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+ llama-2-70b-chat,6-8 early morning,2.8660141522424265,289.6642857142857,44.614285714285714
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+ llama-2-70b-chat,9-11 morning,2.872361832027194,283.35,43.45
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+ zephyr-7b-beta,0-2 midnight,3.7253047794103624,217.82083333333333,33.67916666666667
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+ zephyr-7b-beta,12-14 afternoon,3.5789777278900146,277.6,44.016666666666666
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+ zephyr-7b-beta,15-17 late afternoon,3.4592524923459447,248.59,38.9
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+ zephyr-7b-beta,18-20 evening,3.5673056403795878,273.3666666666667,43.5
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+ zephyr-7b-beta,21-23 late evening,3.45343524068594,176.23125,27.21875
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+ zephyr-7b-beta,3-5 night,3.6954557319482166,216.55833333333334,33.46666666666667
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+ zephyr-7b-beta,6-8 early morning,3.937663261095683,273.03333333333336,43.45
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+ zephyr-7b-beta,9-11 morning,4.056525647640228,386.3,63.35
data/2024-02-06 09:35:10.194145_time_of_day_comparison.csv ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,time_of_day,execution_time,characters_count,words_count
2
+ Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25
3
+ Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1
4
+ Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8
5
+ Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125
6
+ Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95
7
+ Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35
8
+ Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156
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+ Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86
10
+ Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545
11
+ Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727
12
+ Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143
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+ Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789
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+ Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28
15
+ Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182
16
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08
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+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53
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+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96
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+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9
20
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113
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+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2
22
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6
23
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6
24
+ chat-bison,midnight,3.890243631601334,398.075,49.0
25
+ chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615
26
+ chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146
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+ chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89
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+ chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545
29
+ chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95
30
+ chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9
31
+ chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88
32
+ chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94
33
+ chat-bison-32k,midnight,4.128177767992019,389.925,48.025
34
+ chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925
35
+ chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85
36
+ chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5
37
+ chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545
38
+ chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805
39
+ chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85
40
+ chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85
41
+ chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85
42
+ gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231
43
+ gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715
44
+ gemini-pro,evening,2.86901999375759,366.4,55.045
45
+ gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1
46
+ gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35
47
+ gemini-pro,midnight,3.338477972348531,369.825,55.9125
48
+ gemini-pro,morning,2.497767536007628,371.93,59.39
49
+ gemini-pro,night,2.8375814715210272,374.8,60.04
50
+ gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476
51
+ gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444
52
+ gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571
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+ gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333
54
+ gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996
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+ gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05
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+ gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889
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+ gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075
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+ gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857
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+ gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444
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+ gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714
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+ gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714
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+ gpt-4,late evening,14.298642643005493,314.336,37.012
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+ gpt-4,midnight,12.3578163115329,334.075,41.35
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+ gpt-4,morning,12.759107512468733,338.18333333333334,46.85
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+ gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923
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+ gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333
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+ gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667
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+ gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45
69
+ gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191
70
+ gpt-4-turbo,late evening,14.592236209392548,413.61,44.8
71
+ gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182
72
+ gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778
73
+ gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308
74
+ llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536
75
+ llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714
76
+ llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4
77
+ llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545
78
+ llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862
79
+ llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875
80
+ llama-2-70b-chat,morning,2.872361832027194,283.35,43.45
81
+ llama-2-70b-chat,night,2.8264514451677147,313.71,48.42
82
+ zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666
83
+ zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45
84
+ zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5
85
+ zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9
86
+ zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875
87
+ zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667
88
+ zephyr-7b-beta,morning,4.056525647640228,386.3,63.35
89
+ zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667
data/2024-02-06 09:42:04.306128_time_of_day_comparison.csv ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,time_of_day,execution_time,characters_count,words_count
2
+ Mistral-7B-Instruct-v0.2,0,1.9149879813194275,37.8,2.95
3
+ Mistral-7B-Instruct-v0.2,3,3.734026002883911,362.9,58.35
4
+ Mistral-7B-Instruct-v0.2,4,3.228973722457886,222.0625,32.25
5
+ Mistral-7B-Instruct-v0.2,5,3.2048643112182615,219.8625,31.8
6
+ Mistral-7B-Instruct-v0.2,6,3.397640073299408,261.18333333333334,40.1
7
+ Mistral-7B-Instruct-v0.2,7,3.389284573495388,175.79375,25.68125
8
+ Mixtral-8x7B-Instruct-v0.1,0,4.639010797279158,323.0394736842105,42.69210526315789
9
+ Mixtral-8x7B-Instruct-v0.1,1,4.009439338194697,301.24545454545455,42.21818181818182
10
+ Mixtral-8x7B-Instruct-v0.1,2,4.526968242530536,285.045,41.86
11
+ Mixtral-8x7B-Instruct-v0.1,3,3.9661054956285575,304.82,47.28
12
+ Mixtral-8x7B-Instruct-v0.1,4,5.362903979589355,369.3192307692308,54.353846153846156
13
+ Mixtral-8x7B-Instruct-v0.1,5,5.80184749175942,347.9681818181818,47.27272727272727
14
+ Mixtral-8x7B-Instruct-v0.1,6,3.6435119574237023,326.69,48.545
15
+ Mixtral-8x7B-Instruct-v0.1,7,5.62397656769588,395.15714285714284,49.02857142857143
16
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,0,1.6341248273849487,210.2,34.2
17
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,1,2.0128010153770446,372.05,62.6
18
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,2,2.0273348593711855,372.13,62.53
19
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,3,1.9041210174560548,372.05,62.6
20
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,4,1.8381905496120452,308.795,51.08
21
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,5,1.7547113946505954,285.17857142857144,46.9
22
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,6,1.7984187936782836,313.99,51.96
23
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,7,1.5875422928068372,192.78333333333333,31.261111111111113
24
+ chat-bison,0,3.890243631601334,398.075,49.0
25
+ chat-bison (PaLM 2),0,2.468383938074112,381.95,60.9
26
+ chat-bison (PaLM 2),1,2.460119960308075,381.92,60.94
27
+ chat-bison (PaLM 2),2,2.4665334616388592,381.9214285714286,60.892857142857146
28
+ chat-bison (PaLM 2),3,2.488477897644043,381.73,60.88
29
+ chat-bison (PaLM 2),4,2.6460144804074215,376.28076923076924,55.965384615384615
30
+ chat-bison (PaLM 2),5,3.0387172081253744,381.1363636363636,53.35454545454545
31
+ chat-bison (PaLM 2),6,2.688272579908371,367.07,55.89
32
+ chat-bison (PaLM 2),7,2.7250528037548065,382.725,52.95
33
+ chat-bison-32k,0,4.128177767992019,389.925,48.025
34
+ chat-bison-32k (PaLM 2 32K),0,7.7498266498247785,335.75,53.85
35
+ chat-bison-32k (PaLM 2 32K),1,6.491292915344238,335.75,53.85
36
+ chat-bison-32k (PaLM 2 32K),2,9.141417106560299,335.75,53.85
37
+ chat-bison-32k (PaLM 2 32K),3,7.7035503840446475,335.75,53.85
38
+ chat-bison-32k (PaLM 2 32K),4,5.014458654477046,339.3692307692308,49.323076923076925
39
+ chat-bison-32k (PaLM 2 32K),5,4.5047362284226855,348.65909090909093,48.35454545454545
40
+ chat-bison-32k (PaLM 2 32K),6,7.7332194912433625,329.46,49.5
41
+ chat-bison-32k (PaLM 2 32K),7,7.796841062307358,349.95,47.805
42
+ gemini-pro,0,3.338477972348531,369.825,55.9125
43
+ gemini-pro,1,2.8375814715210272,374.8,60.04
44
+ gemini-pro,2,2.7453590130460435,381.2214285714286,60.964285714285715
45
+ gemini-pro,3,2.497767536007628,371.93,59.39
46
+ gemini-pro,4,2.816922114008949,360.62307692307695,53.25769230769231
47
+ gemini-pro,5,2.9268629640903114,364.57272727272726,50.1
48
+ gemini-pro,6,2.86901999375759,366.4,55.045
49
+ gemini-pro,7,3.7189874940246117,390.9142857142857,51.35
50
+ gpt-3.5-turbo,0,3.822115447632102,426.71923076923076,49.05
51
+ gpt-3.5-turbo,1,6.062970260473398,418.6192307692308,44.926923076923075
52
+ gpt-3.5-turbo,2,3.787998208734724,403.74444444444447,47.34444444444444
53
+ gpt-3.5-turbo,3,3.126271222697364,389.9888888888889,50.93888888888889
54
+ gpt-3.5-turbo,4,3.9458200880459375,381.4428571428571,43.76190476190476
55
+ gpt-3.5-turbo,5,4.384064777692159,396.4357142857143,43.28333333333333
56
+ gpt-3.5-turbo,6,3.5153889304115657,385.18095238095236,46.01428571428571
57
+ gpt-3.5-turbo,7,5.110168156187617,422.73510971786834,45.358934169278996
58
+ gpt-4,0,12.3578163115329,334.075,41.35
59
+ gpt-4,1,12.813134506115546,316.93461538461537,37.93076923076923
60
+ gpt-4,2,14.348626694414351,323.5388888888889,40.544444444444444
61
+ gpt-4,3,12.759107512468733,338.18333333333334,46.85
62
+ gpt-4,4,16.002364798386893,318.3095238095238,38.77142857142857
63
+ gpt-4,5,16.80607506932254,313.3595238095238,37.49285714285714
64
+ gpt-4,6,13.841120740345547,318.0809523809524,40.19285714285714
65
+ gpt-4,7,14.298642643005493,314.336,37.012
66
+ gpt-4-turbo,0,13.770663784850727,382.7613636363636,47.61818181818182
67
+ gpt-4-turbo,1,14.254795966698573,352.54615384615386,46.37692307692308
68
+ gpt-4-turbo,2,11.555620827939775,357.65555555555557,47.21666666666667
69
+ gpt-4-turbo,3,13.686854598257277,381.8888888888889,55.02777777777778
70
+ gpt-4-turbo,4,13.997754749229976,351.01190476190476,46.03333333333333
71
+ gpt-4-turbo,5,22.320911452883767,381.65714285714284,47.35476190476191
72
+ gpt-4-turbo,6,16.550320884159632,382.31666666666666,48.45
73
+ gpt-4-turbo,7,14.592236209392548,413.61,44.8
74
+ llama-2-70b-chat,0,3.249819871626402,346.8875,52.06875
75
+ llama-2-70b-chat,1,2.8264514451677147,313.71,48.42
76
+ llama-2-70b-chat,2,2.8660141522424265,289.6642857142857,44.614285714285714
77
+ llama-2-70b-chat,3,2.872361832027194,283.35,43.45
78
+ llama-2-70b-chat,4,4.234376892130426,375.44615384615383,55.238461538461536
79
+ llama-2-70b-chat,5,3.6833307104881365,433.6636363636364,59.445454545454545
80
+ llama-2-70b-chat,6,2.9706250462084185,317.245,47.4
81
+ llama-2-70b-chat,7,4.719581684340602,572.1689655172414,79.83103448275862
82
+ zephyr-7b-beta,0,3.7253047794103624,217.82083333333333,33.67916666666667
83
+ zephyr-7b-beta,1,3.6954557319482166,216.55833333333334,33.46666666666667
84
+ zephyr-7b-beta,2,3.937663261095683,273.03333333333336,43.45
85
+ zephyr-7b-beta,3,4.056525647640228,386.3,63.35
86
+ zephyr-7b-beta,4,3.5789777278900146,277.6,44.016666666666666
87
+ zephyr-7b-beta,5,3.4592524923459447,248.59,38.9
88
+ zephyr-7b-beta,6,3.5673056403795878,273.3666666666667,43.5
89
+ zephyr-7b-beta,7,3.45343524068594,176.23125,27.21875
data/2024-02-06 09:46:18.795794_time_of_day_comparison.csv ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,time_of_day,execution_time,characters_count,words_count
2
+ Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95
3
+ Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35
4
+ Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25
5
+ Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8
6
+ Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1
7
+ Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125
8
+ Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789
9
+ Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182
10
+ Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86
11
+ Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28
12
+ Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156
13
+ Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727
14
+ Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545
15
+ Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143
16
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2
17
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6
18
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53
19
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6
20
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08
21
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9
22
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96
23
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113
24
+ chat-bison,midnight,3.890243631601334,398.075,49.0
25
+ chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9
26
+ chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94
27
+ chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146
28
+ chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88
29
+ chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615
30
+ chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545
31
+ chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89
32
+ chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95
33
+ chat-bison-32k,midnight,4.128177767992019,389.925,48.025
34
+ chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85
35
+ chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85
36
+ chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85
37
+ chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85
38
+ chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925
39
+ chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545
40
+ chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5
41
+ chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805
42
+ gemini-pro,midnight,3.338477972348531,369.825,55.9125
43
+ gemini-pro,night,2.8375814715210272,374.8,60.04
44
+ gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715
45
+ gemini-pro,morning,2.497767536007628,371.93,59.39
46
+ gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231
47
+ gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1
48
+ gemini-pro,evening,2.86901999375759,366.4,55.045
49
+ gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35
50
+ gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05
51
+ gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075
52
+ gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444
53
+ gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889
54
+ gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476
55
+ gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333
56
+ gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571
57
+ gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996
58
+ gpt-4,midnight,12.3578163115329,334.075,41.35
59
+ gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923
60
+ gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444
61
+ gpt-4,morning,12.759107512468733,338.18333333333334,46.85
62
+ gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857
63
+ gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714
64
+ gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714
65
+ gpt-4,late evening,14.298642643005493,314.336,37.012
66
+ gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182
67
+ gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308
68
+ gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667
69
+ gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778
70
+ gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333
71
+ gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191
72
+ gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45
73
+ gpt-4-turbo,late evening,14.592236209392548,413.61,44.8
74
+ llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875
75
+ llama-2-70b-chat,night,2.8264514451677147,313.71,48.42
76
+ llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714
77
+ llama-2-70b-chat,morning,2.872361832027194,283.35,43.45
78
+ llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536
79
+ llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545
80
+ llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4
81
+ llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862
82
+ zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667
83
+ zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667
84
+ zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45
85
+ zephyr-7b-beta,morning,4.056525647640228,386.3,63.35
86
+ zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666
87
+ zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9
88
+ zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5
89
+ zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875
data/2024-02-06 09:49:19.637072_time_of_day_comparison.csv ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,time_of_day,execution_time,characters_count,words_count
2
+ Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35
3
+ Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25
4
+ Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8
5
+ Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1
6
+ Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125
7
+ Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95
8
+ Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86
9
+ Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28
10
+ Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156
11
+ Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727
12
+ Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545
13
+ Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143
14
+ Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789
15
+ Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182
16
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53
17
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6
18
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08
19
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9
20
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96
21
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113
22
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2
23
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6
24
+ chat-bison,midnight,3.890243631601334,398.075,49.0
25
+ chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146
26
+ chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88
27
+ chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615
28
+ chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545
29
+ chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89
30
+ chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95
31
+ chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9
32
+ chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94
33
+ chat-bison-32k,midnight,4.128177767992019,389.925,48.025
34
+ chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85
35
+ chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85
36
+ chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925
37
+ chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545
38
+ chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5
39
+ chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805
40
+ chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85
41
+ chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85
42
+ gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715
43
+ gemini-pro,morning,2.497767536007628,371.93,59.39
44
+ gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231
45
+ gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1
46
+ gemini-pro,evening,2.86901999375759,366.4,55.045
47
+ gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35
48
+ gemini-pro,midnight,3.338477972348531,369.825,55.9125
49
+ gemini-pro,night,2.8375814715210272,374.8,60.04
50
+ gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444
51
+ gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889
52
+ gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476
53
+ gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333
54
+ gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571
55
+ gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996
56
+ gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05
57
+ gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075
58
+ gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444
59
+ gpt-4,morning,12.759107512468733,338.18333333333334,46.85
60
+ gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857
61
+ gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714
62
+ gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714
63
+ gpt-4,late evening,14.298642643005493,314.336,37.012
64
+ gpt-4,midnight,12.3578163115329,334.075,41.35
65
+ gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923
66
+ gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667
67
+ gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778
68
+ gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333
69
+ gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191
70
+ gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45
71
+ gpt-4-turbo,late evening,14.592236209392548,413.61,44.8
72
+ gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182
73
+ gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308
74
+ llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714
75
+ llama-2-70b-chat,morning,2.872361832027194,283.35,43.45
76
+ llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536
77
+ llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545
78
+ llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4
79
+ llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862
80
+ llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875
81
+ llama-2-70b-chat,night,2.8264514451677147,313.71,48.42
82
+ zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45
83
+ zephyr-7b-beta,morning,4.056525647640228,386.3,63.35
84
+ zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666
85
+ zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9
86
+ zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5
87
+ zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875
88
+ zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667
89
+ zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667
data/time_of_day_plot.json CHANGED
@@ -1 +1 @@
1
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