sruthigorantla_-_Mistral-7B-v0.1-math-sft-gguf

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Mistral-7B-v0.1-math-sft - GGUF

• Model creator: https://huggingface.co/sruthigorantla/
• Original model: https://huggingface.co/sruthigorantla/Mistral-7B-v0.1-math-sft/

Original model description:

library_name: transformers license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags:

• trl
• sft
• generated_from_trainer datasets:
• generator model-index:
• name: Mistral-7B-v0.1-math-sft results: []

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Mistral-7B-v0.1-math-sft

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.1278

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: 16
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 128
• total_eval_batch_size: 64
• 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

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1