wav2GPT2MusicfreezeL6E2

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

• Loss: 2.9438
• Rouge1: 18.5205
• Rouge2: 3.5275
• Rougel: 17.3822
• Rougelsum: 17.3903
• Gen Len: 99.0

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: 1e-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.3163	1.0	1361	3.0383	18.0832	2.1201	16.389	16.4029	99.0
3.0791	2.0	2722	2.9438	18.5205	3.5275	17.3822	17.3903	99.0

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.2
• Tokenizers 0.13.3