Mistral-7B-gsm8k
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the openai/gsm8k 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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 6
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2
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Model tree for DUAL-GPO/Mistral-7B-gsm8k
Base model
mistralai/Mistral-7B-v0.1 Finetuned
mistralai/Mistral-7B-Instruct-v0.1