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NLP-FEUP/
DA-FT-distilbert-base-uncased

Name: DA-FT-distilbert-base-uncased
Availability: InStock

generated_from_trainer

NLP-FEUP/DA-distilbert-base-uncased

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DA-FT-distilbert-base-uncased

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

Loss: 0.6205
Accuracy: 0.725

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	40	0.6767	0.625
No log	2.0	80	0.6476	0.675
No log	3.0	120	0.6205	0.725

Framework versions

Transformers 4.41.0
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1

NLP-FEUP/DA-FT-distilbert-base-uncased

DA-FT-distilbert-base-uncased

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NLP-FEUP/
DA-FT-distilbert-base-uncased