RADME_fine_f2

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

• Loss: 0.3229

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
0.3451	0.95	5000	0.3071
0.3005	1.91	10000	0.2879
0.2738	2.86	15000	0.2796
0.2572	3.81	20000	0.2768
0.2382	4.77	25000	0.2778
0.2262	5.72	30000	0.2770
0.2111	6.68	35000	0.2810
0.199	7.63	40000	0.2881
0.1896	8.58	45000	0.2940
0.1799	9.54	50000	0.2986
0.1702	10.49	55000	0.3054
0.1631	11.44	60000	0.3095
0.1555	12.4	65000	0.3157
0.1503	13.35	70000	0.3199
0.1478	14.3	75000	0.3229

Framework versions

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