metadata
base_model: Mistral-7B-v0.1
tags:
- math
model-index:
- name: Mistral-7B-v0.1-lce
results: []
license: apache-2.0
language:
- en
metrics:
- accuracy
pipeline_tag: text-generation
Mistral-7B-Ours-SFT
This model is a fine-tuned version of Mistral-7B-v0.1. It achieves the following results on the evaluation set:
- Loss: 0.2716
Model description
This is a model fine-tuned for mathematical problem-solving.
Intended uses & limitations
The model is intended for solving math problems.
Training and evaluation data
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 3
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2