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gonzalezrostani/
my_awesome_wnut_all_NEG

Name: my_awesome_wnut_all_NEG
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

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my_awesome_wnut_all_NEG

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: 0.0175
Precision: 0.7955
Recall: 0.8537
F1: 0.8235
Accuracy: 0.9948

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	Precision	Recall	F1	Accuracy
No log	1.0	251	0.0170	0.8056	0.8488	0.8266	0.9948
0.0275	2.0	502	0.0166	0.7937	0.8634	0.8271	0.9948
0.0275	3.0	753	0.0169	0.7982	0.8683	0.8318	0.9947
0.0083	4.0	1004	0.0175	0.7955	0.8537	0.8235	0.9948

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cpu
Datasets 2.18.0
Tokenizers 0.15.2

gonzalezrostani/my_awesome_wnut_all_NEG

my_awesome_wnut_all_NEG

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gonzalezrostani/
my_awesome_wnut_all_NEG