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ROE_Patent_Breeze7B_V1

This model is a fine-tuned version of MediaTek-Research/Breeze-7B-Instruct-v1_0 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7530

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: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 11
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.9896 0.9697 12 0.9971
0.9038 1.9394 24 0.9124
0.812 2.9899 37 0.8596
0.8009 3.9596 49 0.8248
0.7401 4.9293 61 0.8017
0.6997 5.9798 74 0.7835
0.6831 6.9495 86 0.7715
0.656 8.0 99 0.7635
0.6389 8.9697 111 0.7558
0.6094 9.9394 123 0.7550
0.5967 10.6667 132 0.7530

Framework versions

  • PEFT 0.13.3.dev0
  • Transformers 4.45.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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