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shellypeng/
distillbert-base-cased-finetuned-ner3

Name: distillbert-base-cased-finetuned-ner3
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-cased

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distillbert-base-cased-finetuned-ner3

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: 0.1370
Precision: 0.7851
Recall: 0.8195
F1: 0.8020
Accuracy: 0.9579

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1896	1.0	4750	0.1830	0.7113	0.7623	0.7359	0.9457
0.1468	2.0	9500	0.1514	0.7723	0.7932	0.7826	0.9532
0.1321	3.0	14250	0.1421	0.7700	0.8050	0.7871	0.9557
0.124	4.0	19000	0.1369	0.7771	0.8102	0.7933	0.9574
0.1243	5.0	23750	0.1380	0.7815	0.8152	0.798	0.9572
0.1129	6.0	28500	0.1371	0.7862	0.8188	0.8022	0.9577
0.1138	7.0	33250	0.1370	0.7851	0.8195	0.8020	0.9579

Framework versions

Transformers 4.50.1
Pytorch 2.5.1+cu124
Datasets 3.4.1
Tokenizers 0.21.1

shellypeng/distillbert-base-cased-finetuned-ner3

distillbert-base-cased-finetuned-ner3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

shellypeng/
distillbert-base-cased-finetuned-ner3