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Almancy/
practica_3_model

Name: practica_3_model
Rating: 2.5 (5 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

endpoints_compatible

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practica_3_model

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: 2.6600
Start Accuracy: 0.3233
End Accuracy: 0.33
Total Accuracy: 0.3267

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Start Accuracy	End Accuracy	Total Accuracy
3.6709	1.0	88	3.6060	0.1367	0.1133	0.125
3.171	2.0	176	3.1622	0.1967	0.15	0.1733
2.6294	3.0	264	2.8054	0.2983	0.275	0.2867
2.3842	4.0	352	2.6600	0.3233	0.33	0.3267

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1

Almancy/practica_3_model

practica_3_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Almancy/
practica_3_model