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: 0.7890

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
0.9313	9.42	12000	0.9207
0.9129	18.84	24000	0.9018
0.8847	28.26	36000	0.8786
0.8537	37.68	48000	0.8541
0.8177	47.1	60000	0.8412
0.7778	56.51	72000	0.8111
0.7385	65.93	84000	0.7931
0.7079	75.35	96000	0.7890

Framework versions

• Transformers 4.36.0
• Pytorch 2.1.0
• Datasets 2.15.0
• Tokenizers 0.15.1