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JaySonawane2002/
test

Name: test
Rating: 2.5 (7 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

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test

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3882
Accuracy: 0.882

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9814	1.0	63	0.5559	0.855
0.4322	2.0	126	0.3999	0.878
0.3088	3.0	189	0.3882	0.882

Framework versions

Transformers 5.5.0
Pytorch 2.5.1+cu121
Datasets 4.8.4
Tokenizers 0.22.2

JaySonawane2002/test

test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

JaySonawane2002/
test