my_model – AI Model by dvinodwagh | AlphaNeural AI

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dvinodwagh/
my_model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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my_model

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

Loss: 1.6561

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.0481	1.0	638	1.7660
1.3097	2.0	1276	1.6561
1.3712	3.0	1914	1.6632
1.7868	4.0	2552	1.6640
1.3863	5.0	3190	1.7156
1.488	6.0	3828	1.7067
1.4615	7.0	4466	1.7098
1.853	8.0	5104	1.7113
1.574	9.0	5742	1.7162
2.0823	10.0	6380	1.7148

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0