metadata

base_model: hllj/mistral-vi-math
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: sft-mistral-v1-clean-valid
    results: []
library_name: peft

sft-mistral-v1-clean-valid

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

Loss: 0.5101

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: 3e-05
train_batch_size: 4
eval_batch_size: 4
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

Training Loss	Epoch	Step	Validation Loss
0.2676	1.05	1000	0.5086

Framework versions

PEFT 0.5.0
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.0
Tokenizers 0.15.0