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cls_sentiment_phi3_v1

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7122

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: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • 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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.9066 0.2083 50 0.9011
0.854 0.4167 100 0.8419
0.787 0.625 150 0.8062
0.7476 0.8333 200 0.7764
0.7141 1.0417 250 0.7636
0.6989 1.25 300 0.7528
0.6482 1.4583 350 0.7397
0.6537 1.6667 400 0.7207
0.6526 1.875 450 0.7122

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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