model – AI Model by AhmadFareedKhan | AlphaNeural AI

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Twitter/twhin-bert-large

autotrain_compatible

endpoints_compatible

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model

This model is a fine-tuned version of Twitter/twhin-bert-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8996

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: 1e-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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	300	2.1878
2.4077	2.0	600	2.0959
2.4077	3.0	900	2.1126
2.2053	4.0	1200	2.0066
2.0736	5.0	1500	1.9590
2.0736	6.0	1800	1.9668
2.0221	7.0	2100	1.9509
2.0221	8.0	2400	1.9274
1.9679	9.0	2700	1.8871
1.9687	10.0	3000	1.8996

Framework versions

Transformers 4.32.1
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.13.3