metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
  - name: Finetune-test2
    results: []

Finetune-test2

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.8662
eval_runtime: 15.7392
eval_samples_per_second: 6.354
eval_steps_per_second: 1.588
epoch: 12.0
step: 675

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.0.1+cu118
Datasets 2.19.0
Tokenizers 0.19.1