spanbert-base-cased-finetuned-slot_fill – AI Model by FanChen0116 | AlphaNeural AI

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FanChen0116/
spanbert-base-cased-finetuned-slot_fill

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token-classification

generated_from_trainer

SpanBERT/spanbert-base-cased

autotrain_compatible

endpoints_compatible

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spanbert-base-cased-finetuned-slot_fill

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

Loss: 0.5806
Precision: 0.6222
Recall: 0.3415
F1: 0.4409
Accuracy: 0.8914

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	Precision	Recall	F1	Accuracy
No log	1.0	18	0.8888	0.7143	0.3049	0.4274	0.8737
No log	2.0	36	0.7158	0.7143	0.3049	0.4274	0.8737
No log	3.0	54	0.6283	0.7143	0.3049	0.4274	0.8737
No log	4.0	72	0.5922	0.7143	0.3049	0.4274	0.8737
No log	5.0	90	0.5806	0.6222	0.3415	0.4409	0.8914

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0