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--- |
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license: cc-by-nc-sa-4.0 |
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datasets: |
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- roneneldan/TinyStories |
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--- |
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This is a character (english a-z 0-9 and so on) trained model following Andrej karpathy's llama.c project https://github.com/karpathy/llama2.c on both TinyStories and my own internal similar dataset I made. the last 150k is from a subset of cosmopedia I extracted for younger people. |
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Trained for 49,152,000,000 tokens |
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for it to see/output Uppercase letters this model uses a Shift-Key modifier before the letter to become uppercase, and has never been trained on actual uppercase letters. |
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This modifier is β¨ and here are the functions I use to convert from straight text to the modified format and back. |
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``` |
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def add_caseifer(text): |
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# Using list comprehension for more efficient concatenation |
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return ''.join(['β¨' + char.lower() if char.isupper() else char for char in text |
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def remove_caseifer(text): |
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new_text = "" |
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i = 0 |
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while i < len(text): |
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if text[i] == "β¨": |
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if i+1 < len(text): |
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new_text += text[i+1].upper() |
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i += 1 |
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else: |
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pass # skip this index |
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else: |
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new_text += text[i] |
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i += 1 |
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return new_text |
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``` |
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As such for test strings to use in chat try using somthing like: |
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``` |
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β¨hello, my name is β¨clara and β¨i like |
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``` |
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Run history: |
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iter βββββββββββββββββββββ
β
β
β
β
β
ββββββββββββββ |
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loss/train ββ
ββ
ββ
ββββββββββββββββββββββββββββββββββ |
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loss/val ββββ
β
βββββββββββββββββββββββββββββββββββ |
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lr ββββββββββββββββββββββββββββββββββββββββ |
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mfu β
β
β
ββ
β
β
β
β
β
ββ
β
β
ββ
β
β
ββ
β
β
β
ββ
β
β
β
β
β
β
β
β
β
β
β
ββ
β
β |
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step_time ββββββββββββββββββββββββββββββββββββββββ |
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tokens βββββββββββββββββββββ
β
β
β
β
β
ββββββββββββββ |
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Run summary: |
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iter 500000 |
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loss/train 0.48935 |
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loss/val 0.45042 |
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lr 1e-05 |
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mfu 9.31042 |
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step_time 63441.47873 |
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tokens 49152000000 |
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