71 lines
3.2 KiB
Markdown
71 lines
3.2 KiB
Markdown
---
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license: apache-2.0
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widget:
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- text: My name is El Microondas the Wise, and
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example_title: El Microondas
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- text: Kennesaw State University is a public
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example_title: Kennesaw State University
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- text: Bungie Studios is an American video game developer. They are most famous for
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developing the award winning Halo series of video games. They also made Destiny.
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The studio was founded
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example_title: Bungie
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- text: The Mona Lisa is a world-renowned painting created by
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example_title: Mona Lisa
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- text: The Harry Potter series, written by J.K. Rowling, begins with the book titled
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example_title: Harry Potter Series
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- text: 'Question: I have cities, but no houses. I have mountains, but no trees. I
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have water, but no fish. What am I?
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Answer:'
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example_title: Riddle
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- text: The process of photosynthesis involves the conversion of
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example_title: Photosynthesis
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- text: Jane went to the store to buy some groceries. She picked up apples, oranges,
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and a loaf of bread. When she got home, she realized she forgot
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example_title: Story Continuation
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- text: 'Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph,
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and another train leaves Station B at 10:00 AM and travels at 80 mph, when will
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they meet if the distance between the stations is 300 miles?
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To determine'
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example_title: Math Problem
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- text: In the context of computer programming, an algorithm is
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example_title: Algorithm Definition
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---
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# Mixsmol-4x400M-v0.1 by Ontocord
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This is the first checkpoint (Epoch 1) of Mixsmol-4x400M-v0.1
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Note that this is an experimental in data mixing. Therefore, we only trained the model on 50B tokens (95% English and 5% Vietnamese) to test the following:
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- Reasoining capabilities through high-quality synthetic textbooks data pretraining
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- Crosslingual understanding through machine translation and multilingual + multiple tasks pretraining
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After verifying our hypothesis with this run, we will schedule a second run on bigger data and compute for it to achieve its maximum capability.
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## Data
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- Synthetic Textbooks: 8M samples
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- RefinedWeb: 1M samples
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- RedPajama-v2: 500K samples
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- MathPile: Everything
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- ThePile: MiniPile Subset
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- GoodWiki
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- The Stack Smol XL
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- The Vault: train_small split
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- Instruction Pretraining: 250k samples
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| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
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|-------------|-------|------|-----:|--------|-----:|---|-----:|
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|arc_challenge|Yaml |none | 25|acc |0.1937|± |0.0115|
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| | |none | 25|acc_norm|0.2329|± |0.0124|
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|hellaswag|Yaml |none | 10|acc |0.2856|± |0.0045|
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| | |none | 10|acc_norm|0.3090|± |0.0046|
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|mmlu |N/A |none | 0|acc |0.2536|± |0.0483|
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| - humanities |N/A |none | 5|acc |0.2408|± |0.0341|
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| - other |N/A |none | 5|acc |0.2475|± |0.0443|
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| - social_sciences|N/A |none | 5|acc |0.2567|± |0.0456|
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| - stem |N/A |none | 5|acc |0.2756|± |0.0653|
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|truthfulqa_mc2|Yaml |none | 0|acc |0.3909|± |0.0148|
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|winogrande|Yaml |none | 5|acc |0.5107|± | 0.014|
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|gsm8k|Yaml |get-answer| 5|exact_match| 0|± | 0|
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## Contribution
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This work is a shared contribution between **Ontocord, BEE-spoke-data and VILM**
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