Edit model card
Configuration Parsing Warning: In adapter_config.json: "peft.base_model_name_or_path" must be a string

Finetune-test3

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:

  • Loss: 0.6143

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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.1515 0.9956 56 0.7617
0.7099 1.9911 112 0.6591
0.6427 2.9867 168 0.6336
0.5897 4.0 225 0.6145
0.5634 4.9956 281 0.6038
0.5328 5.9911 337 0.6003
0.5084 6.9867 393 0.6019
0.4793 8.0 450 0.6030
0.4718 8.9956 506 0.6088
0.4559 9.9556 560 0.6143

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.19.0
  • Tokenizers 0.19.1
Downloads last month
2
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for AmaanUsmani/Finetune-test3