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laurafcamargos/
distilbert-qasports-basket-small

Name: distilbert-qasports-basket-small
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

endpoints_compatible

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distilbert-qasports-basket-small

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

Loss: 1.4353

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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	162	1.5757
No log	2.0	324	1.2079
No log	3.0	486	1.1946
1.6938	4.0	648	1.2071
1.6938	5.0	810	1.2500
1.6938	6.0	972	1.3132
0.4045	7.0	1134	1.3599
0.4045	8.0	1296	1.3778
0.4045	9.0	1458	1.4255
0.1872	10.0	1620	1.4353

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

laurafcamargos/distilbert-qasports-basket-small

distilbert-qasports-basket-small

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

laurafcamargos/
distilbert-qasports-basket-small