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sandernotenbaert
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hierarchical-music-t5

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
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  1. README.md +4 -17
  2. final_model/training_args.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -12,9 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # hierarchical-music-t5
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- This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.5412
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  ## Model description
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  - total_train_batch_size: 64
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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- - lr_scheduler_warmup_steps: 1000
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- - num_epochs: 3
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  - mixed_precision_training: Native AMP
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 2.8072 | 0.4637 | 500 | 2.6616 |
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- | 2.2359 | 0.9274 | 1000 | 2.1245 |
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- | 1.9234 | 1.3904 | 1500 | 1.8231 |
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- | 1.7725 | 1.8542 | 2000 | 1.6993 |
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- | 1.6731 | 2.3172 | 2500 | 1.5826 |
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- | 1.6358 | 2.7809 | 3000 | 1.5412 |
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-
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-
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  ### Framework versions
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  - Transformers 4.54.0
 
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  ---
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  library_name: transformers
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+ base_model: sandernotenbaert/hierarchical-music-t5
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # hierarchical-music-t5
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+ This model is a fine-tuned version of [sandernotenbaert/hierarchical-music-t5](https://huggingface.co/sandernotenbaert/hierarchical-music-t5) on an unknown dataset.
 
 
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  ## Model description
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  - total_train_batch_size: 64
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 4
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.54.0
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