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tjspross/
roberta_cws_granular_segment

Name: roberta_cws_granular_segment
Availability: InStock

generated_from_trainer

hfl/chinese-roberta-wwm-ext-large

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roberta_cws_granular_segment

This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2465
Precision: 0.9228
Recall: 0.9244
F1: 0.9236
Accuracy: 0.9276

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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	85	0.2742	0.9173	0.9042	0.9107	0.9128
No log	2.0	170	0.2490	0.9287	0.9065	0.9175	0.9188
No log	3.0	255	0.2465	0.9228	0.9244	0.9236	0.9276

Framework versions

Transformers 4.50.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.21.1

tjspross/roberta_cws_granular_segment

roberta_cws_granular_segment

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tjspross/
roberta_cws_granular_segment