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4_bar_lmd_clean_custom_epochs10

This model is a fine-tuned version of MikeMpapa/4_bar_lmd_clean_custom_epochs10 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8099

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: 0.005
  • train_batch_size: 48
  • eval_batch_size: 32
  • seed: 1
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 96
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 81

Training results

Training Loss Epoch Step Validation Loss
1.078 9.42 12000 0.9938
0.9861 18.84 24000 0.9498
0.9367 28.26 36000 0.9170
0.8959 37.68 48000 0.8851
0.855 47.1 60000 0.8653
0.8125 56.51 72000 0.8325
0.772 65.93 84000 0.8155
0.7409 75.35 96000 0.8099

Framework versions

  • Transformers 4.36.0
  • Pytorch 2.1.0
  • Datasets 2.15.0
  • Tokenizers 0.15.1
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Space using MikeMpapa/4_bar_lmd_clean_custom_epochs10 1