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DanielNRU/
pollen-ner-1600

Name: pollen-ner-1600
Availability: InStock

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pollen-ner-1600

This model is a fine-tuned version of DeepPavlov/rubert-base-cased on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 5e-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: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
No log	1.0	200	0.1436	0.8462	0.9056	0.8749
No log	2.0	400	0.1407	0.8550	0.8996	0.8767
0.2058	3.0	600	0.1443	0.8593	0.9076	0.8828
0.2058	4.0	800	0.1405	0.8555	0.9036	0.8789
0.1935	5.0	1000	0.1432	0.8593	0.9076	0.8828