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tasosk/
distilbert-base-uncased-airlines

Name: distilbert-base-uncased-airlines
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-airlines

This model is a fine-tuned version of distilbert-base-uncased on the tasosk/airlines dataset. It achieves the following results on the evaluation set:

Loss: 0.3174
Accuracy: 0.9288
F1: 0.9289

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	Accuracy	F1
No log	1.0	203	0.2281	0.9164	0.9164
No log	2.0	406	0.2676	0.9164	0.9164
0.2314	3.0	609	0.3117	0.9217	0.9217
0.2314	4.0	812	0.3175	0.9270	0.9271
0.08	5.0	1015	0.3174	0.9288	0.9289

Framework versions

Transformers 4.14.1
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3

tasosk/distilbert-base-uncased-airlines

distilbert-base-uncased-airlines

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tasosk/
distilbert-base-uncased-airlines