RADME_fine_f4

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

• Loss: 0.3141

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
0.3477	0.95	5000	0.3100
0.3067	1.91	10000	0.2889
0.2787	2.86	15000	0.2791
0.2573	3.81	20000	0.2767
0.2434	4.77	25000	0.2740
0.2256	5.72	30000	0.2772
0.2152	6.67	35000	0.2799
0.2026	7.63	40000	0.2833
0.1925	8.58	45000	0.2884
0.1838	9.53	50000	0.2926
0.1744	10.49	55000	0.2979
0.1669	11.44	60000	0.3034
0.1612	12.39	65000	0.3087
0.1548	13.35	70000	0.3127
0.1529	14.3	75000	0.3141

Framework versions

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