RADME_fine_f0

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3180

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 3
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.3415	0.95	5000	0.3092
0.3072	1.91	10000	0.2882
0.2776	2.86	15000	0.2789
0.2571	3.82	20000	0.2754
0.2403	4.77	25000	0.2751
0.226	5.72	30000	0.2763
0.2111	6.68	35000	0.2812
0.2021	7.63	40000	0.2852
0.1897	8.58	45000	0.2908
0.1789	9.54	50000	0.2950
0.171	10.49	55000	0.3001
0.1646	11.45	60000	0.3062
0.1577	12.4	65000	0.3105
0.1528	13.35	70000	0.3154
0.1499	14.31	75000	0.3180

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1
• Datasets 2.14.4
• Tokenizers 0.13.3