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salami_truncsplit_legit1_model

Text-to-Audio
PEFT
Safetensors
musicgen
taufiqsyed/salami_cleaned_sampled
Generated from Trainer
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metadata
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/musicgen-small
tags:
  - generated_from_trainer
model-index:
  - name: salami_truncsplit_legit1_model
    results: []

salami_truncsplit_legit1_model

This model is a fine-tuned version of facebook/musicgen-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 6.5205
  • Clap: 0.1081

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: 456
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant
  • num_epochs: 10.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Clap
8.305 0.4813 25 3.7163 0.2508
6.9842 0.9627 50 4.6081 0.0551
6.9013 1.4428 75 5.6498 0.0582
6.0195 1.9242 100 5.7631 0.1450
6.447 2.4043 125 5.7947 0.1187
6.215 2.8857 150 5.8396 0.1164
6.4075 3.3658 175 5.8361 0.1174
5.797 3.8472 200 5.8150 0.1093
6.347 4.3273 225 5.7935 0.1029
5.3935 4.8087 250 5.7605 0.1040
6.0328 5.2888 275 5.7012 0.1006
6.1476 5.7702 300 5.6703 0.0880
5.9049 6.2503 325 5.8333 0.1260
5.8547 6.7316 350 5.9171 0.1415
5.5151 7.2118 375 6.0307 0.1488
6.0651 7.6931 400 6.0683 0.1520
6.0339 8.1733 425 6.1653 0.1496
5.5607 8.6546 450 6.3588 0.1344
6.0312 9.1348 475 6.4503 0.1358
5.9084 9.6161 500 6.5205 0.1081

Framework versions

  • PEFT 0.13.2
  • Transformers 4.47.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3