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julieou/
my_awesome_wnut_model_cased

Name: my_awesome_wnut_model_cased
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-cased

finetune

apache-2.0

endpoints_compatible

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my_awesome_wnut_model_cased

This model is a fine-tuned version of distilbert/distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3458
Precision: 0.5145
Recall: 0.3781
F1: 0.4359
Accuracy: 0.9455

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	213	0.2737	0.5344	0.2521	0.3426	0.9386
No log	2.0	426	0.2647	0.5497	0.2919	0.3814	0.9425
0.1792	3.0	639	0.2610	0.5050	0.3735	0.4294	0.9440
0.1792	4.0	852	0.2871	0.4764	0.4124	0.4421	0.9443
0.0462	5.0	1065	0.3445	0.5163	0.3513	0.4181	0.9448
0.0462	6.0	1278	0.3458	0.5145	0.3781	0.4359	0.9455

Framework versions

Transformers 5.15.0
Pytorch 2.11.0+cpu
Datasets 4.0.0
Tokenizers 0.22.2

julieou/my_awesome_wnut_model_cased

my_awesome_wnut_model_cased

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

julieou/
my_awesome_wnut_model_cased