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both-sent-segment – AI Model by bnunticha | AlphaNeural AI
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bnunticha
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both-sent-segment
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transformers
tensorboard
safetensors
camembert
token-classification
generated_from_trainer
airesearch/wangchanberta-base-att-spm-uncased
finetune
autotrain_compatible
endpoints_compatible
us
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both-sent-segment
This model is a fine-tuned version of
airesearch/wangchanberta-base-att-spm-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1547
Precision: 0.7144
Recall: 0.5460
F1: 0.6189
Accuracy: 0.9401
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: 1e-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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1967
1.0
1406
0.1692
0.6825
0.5003
0.5774
0.9343
0.1638
2.0
2812
0.1502
0.6949
0.5831
0.6341
0.9402
0.1552
3.0
4218
0.1547
0.7144
0.5460
0.6189
0.9401
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
