clinic_oos_finetuned_roberta_model – AI Model by MRUNLLM | AlphaNeural AI

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MRUNLLM/
clinic_oos_finetuned_roberta_model

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text-classification

generated_from_trainer

FacebookAI/roberta-large

autotrain_compatible

endpoints_compatible

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output

This model is a fine-tuned version of roberta-large on the clinc_oos dataset. It achieves the following results on the evaluation set:

Loss: 0.1692

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.3719	1.0	954	0.3159
0.0131	2.0	1908	0.1692
0.0149	3.0	2862	0.1947
0.0179	4.0	3816	0.1907
0.04	5.0	4770	0.1877
0.001	6.0	5724	0.1908
0.0473	7.0	6678	0.1961
0.0007	8.0	7632	0.1960
0.0415	9.0	8586	0.1945
0.0005	10.0	9540	0.1971

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1