Comments (5)
kevinwatkins
commented on July 3, 2024
My understanding was that that was how OpenAI had done it (last token rather than all the tokens of the last word), based on this remark at openai/gpt-2#131 (comment). But of course that could be my misinterpretation, or you might not want to follow them in that; it does seem rather odd.
Simplifying the procedure to test accuracy by comparing for equality of last BPE token instead of last word the accuracy is up to 46.89
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sdtblck
commented on July 3, 2024
Hm, we had "WutheFwasthat" from OpenAI from the discord in our server the other day, and he seemed to concur with my statement above. I think the other guy in that thread is not OpenAI affiliated.
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kevinwatkins
commented on July 3, 2024
Cool... I should catch up with the Discord, sorry about that
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leogao2
commented on July 3, 2024
We probably want this fixed asap so we can run LAMBADA on the Pile ablation
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StellaAthena
commented on July 3, 2024
@leogao2 @sdtblck Is this still a concern?
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Related Issues (20)
- Exception: stream did not contain valid UTF-8
- Dataset preparation HOT 1
- Inferencing HOT 2
- Freeze Transformer Weight HOT 1
- Incosistent inference TPU vs GPU (huggingface) HOT 1
- Colab: Download of pre trained dataset not possible. the-eye.eu is offline HOT 1
- GPT3_1_3B configuration for a v3-32 TPU HOT 3
- the-eye.eu is down again, is there a mirror? HOT 6
- GPT-neo 350M weights? HOT 3
- Links in the readme to the-eye.eu don't work HOT 1
- Argument not a list with same length as devices
- The locally ran gpt-neo-2.7B is using CPU instead of GPU HOT 1
- Generation should allow user to specify max length of generated portion, rather than total HOT 5
- Not able to generate predicted text after `Done with copy master to slices.` with 1.3B pre-trained model
- The temperature at 0.0001 (or other arbitrarily small float) is still too high HOT 5
- The model should return just the generated text, not the prompt text + generated text. HOT 2
- TPU device does not support heartbeats.
- IndexError: index out of range in self HOT 1
- FYI:Japanese pre-trained gpt-neo implementation showcase by using PyTorch, Transformers, and Rust HOT 1
- Cannot Connect To Local TPU-VM HOT 1
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