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leomaurodesenv/
distilbert-base-uncased-answerable-or-not-augmented

Name: distilbert-base-uncased-answerable-or-not-augmented
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

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distilbert-base-uncased-answerable-or-not-augmented

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: 0.3136
Accuracy: 0.9085

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2254	1.0	1367	0.3344	0.8617
0.2371	2.0	2734	0.3698	0.8862
0.1131	3.0	4101	0.3137	0.9082
0.1060	4.0	5468	0.4062	0.9202
0.1162	5.0	6835	0.3808	0.9221
0.0508	6.0	8202	0.4580	0.9213

Framework versions

Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2

leomaurodesenv/distilbert-base-uncased-answerable-or-not-augmented

distilbert-base-uncased-answerable-or-not-augmented

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

leomaurodesenv/
distilbert-base-uncased-answerable-or-not-augmented