hllj
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sft-mistral-v3-all

Text Generation

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text-generation-inference

Model card Files Files and versions

sft-mistral-v3-all

This model is a fine-tuned version of hllj/mistral-vi-math on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4937

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.1.0
Datasets 2.15.0
Tokenizers 0.15.0

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