CoEvol
Collection
Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
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5 items
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Updated
CoEvol-Mixtral_Mistral-7B-v0.1_SFT
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the coevol-mixtral_multi_deita6k dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6.0
Training results
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for CAS-SIAT-ConsistencyAI/CoEvol-Mixtral_Mistral-7B-v0.1_SFT
Base model
mistralai/Mistral-7B-v0.1