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levshechter/
combined_model_4class

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combined_model_4class

This model is a fine-tuned version of OMRIDRORI/mbert-tibetan-continual-unicode-240k on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
lr_scheduler_warmup_steps: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Proximity F1	Proximity Recall	Proximity Precision	Exact Matches	Missed Switches	False Switches	Matches At 1 Words	Matches At 2 Words	Matches At 3 Words	Matches At 4 Words	Matches At 5 Words	Matches At 6 Words	Matches At 7 Words	Matches At 8 Words	Matches At 9 Words	Matches At 10 Words
1.1158	4.8193	200	0.5707	0.9129	0.0374	0.0297	0.0646	0.0698	0.3333	0.2093	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.533	9.6386	400	0.3992	0.8837	0.0493	0.1713	0.0319	0.3643	0.0310	6.6667	0.0	0.0	0.0	0.0	0.0078	0.0	0.0	0.0	0.0	0.0