Total runs:
77
Run Growth:
6
Growth Rate:
7.79%
Sponsored by
APIMart
CorticalStack / mistral-7b-metamathqa-sft
Model's Last Updated: February 18 2024
text-generation
Introduction of mistral-7b-metamathqa-sft
Model Details of mistral-7b-metamathqa-sft
mistral-7b-metamathqa-sft
mistral-7b-metamathqa-sft is an SFT fine-tuned version of unsloth/mistral-7b-bnb-4bit using the meta-math/MetaMathQA dataset.
Fine-tuning configuration
LoRA
- r: 256
- LoRA alpha: 128
- LoRA dropout: 0.0
Training arguments
- Epochs: 1
- Batch size: 4
- Gradient accumulation steps: 6
- Optimizer: adamw_torch_fused
- Max steps: 100
- Learning rate: 0.0002
- Weight decay: 0.1
- Learning rate scheduler type: linear
- Max seq length: 2048
- 4-bit bnb: True
Trained with Unsloth and Huggingface's TRL library.
Runs of CorticalStack mistral-7b-metamathqa-sft on huggingface.co
88
Total runs
0
24-hour runs
0
3-day runs
-6
7-day runs
12
30-day runs
More Information About mistral-7b-metamathqa-sft huggingface.co Model
Url of mistral-7b-metamathqa-sft
mistral-7b-metamathqa-sft huggingface.co Url
Provider of mistral-7b-metamathqa-sft huggingface.co
Other API from CorticalStack
Updated:March 03 2024
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Growth Rate:
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29.41%
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Growth Rate:
21.43%
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14.29%
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15.38%
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Growth Rate:
8.33%
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-1
Growth Rate:
-9.09%
Total runs:
11
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1
Growth Rate:
9.09%
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10
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-1
Growth Rate:
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6
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3
Growth Rate:
50.00%
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5
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0.00%
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4
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0
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0.00%
Total runs:
3
Run Growth:
2
Growth Rate:
66.67%
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2
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0
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0.00%
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0
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0
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0.00%