RADME_fine_f1

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

• Loss: 0.3187

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
0.3491	0.95	5000	0.3109
0.3082	1.91	10000	0.2880
0.2772	2.86	15000	0.2798
0.2553	3.82	20000	0.2766
0.2424	4.77	25000	0.2758
0.2292	5.72	30000	0.2785
0.2134	6.68	35000	0.2799
0.2021	7.63	40000	0.2853
0.1912	8.59	45000	0.2893
0.182	9.54	50000	0.2959
0.1734	10.49	55000	0.3005
0.1647	11.45	60000	0.3069
0.1581	12.4	65000	0.3123
0.1538	13.36	70000	0.3147
0.1505	14.31	75000	0.3187

Framework versions

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