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Mou11209203/
distilbert-base-uncased_classification_finetuned_news_all_f1max_epochmax5

Name: distilbert-base-uncased_classification_finetuned_news_all_f1max_epochmax5
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

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distilbert-base-uncased_classification_finetuned_news_all_f1max_epochmax5

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: 0.3332
F1: 0.8332

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.3957	1.0	2384	0.3711	0.7853
0.3385	2.0	4768	0.3364	0.8189
0.3145	3.0	7152	0.3276	0.8320
0.294	4.0	9536	0.3332	0.8332

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Mou11209203/distilbert-base-uncased_classification_finetuned_news_all_f1max_epochmax5

distilbert-base-uncased_classification_finetuned_news_all_f1max_epochmax5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mou11209203/
distilbert-base-uncased_classification_finetuned_news_all_f1max_epochmax5