tiai-pinch-v2-lora / README.md
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End of training
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metadata
library_name: peft
license: apache-2.0
base_model: mistral-community/pixtral-12b
tags:
  - generated_from_trainer
model-index:
  - name: couragestrong/tiai-pinch-v2-lora
    results: []

couragestrong/tiai-pinch-v2-lora

This model is a fine-tuned version of mistral-community/pixtral-12b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0260

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: 2e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 2
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_ratio: 0.15
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
1.2117 1.0 32 0.8225
0.0004 2.0 64 0.0426
0.0035 3.0 96 0.0165
0.0001 4.0 128 0.0416
0.0059 5.0 160 0.0260

Framework versions

  • PEFT 0.14.0
  • Transformers 4.49.0.dev0
  • Pytorch 2.1.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0