nystromformer-gottbert-base-8192 – AI Model by LennartKeller | AlphaNeural AI

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LennartKeller/
nystromformer-gottbert-base-8192

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This model is a fine-tuned version of nystromformer-gottbert-base-8192 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5135

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: 3e-05
train_batch_size: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
6.7133	0.1	500	6.6155
2.7876	0.2	1000	2.5542
2.1831	0.3	1500	2.0356
2.0316	0.4	2000	1.8793
2.0678	0.49	2500	1.7954
1.8182	0.59	3000	1.7473
1.7393	0.69	3500	1.7081
1.7586	0.79	4000	1.6787
1.7417	0.89	4500	1.6563
1.8256	0.99	5000	1.6370
1.7957	1.09	5500	1.6219
1.6876	1.19	6000	1.6084
1.7172	1.28	6500	1.5941
1.6564	1.38	7000	1.5881
1.732	1.48	7500	1.5757
1.8272	1.58	8000	1.5692
1.7951	1.68	8500	1.5617
1.6669	1.78	9000	1.5546
1.6489	1.88	9500	1.5458
1.772	1.98	10000	1.5439
1.7424	2.08	10500	1.5379
1.7077	2.17	11000	1.5322
1.6926	2.27	11500	1.5294
1.656	2.37	12000	1.5274
1.7002	2.47	12500	1.5201
1.7102	2.57	13000	1.5197
1.7158	2.67	13500	1.5162
1.6081	2.77	14000	1.5169
1.754	2.87	14500	1.5140
1.3588	2.96	15000	1.5135

Framework versions

Transformers 4.16.2
Pytorch 1.10.1+cu113
Datasets 1.18.3
Tokenizers 0.11.0