bert-finetuned-tags-rus

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

• Loss: 0.0065

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	92	0.0600
No log	2.0	184	0.0318
No log	3.0	276	0.0195
No log	4.0	368	0.0154
No log	5.0	460	0.0123
0.0598	6.0	552	0.0093
0.0598	7.0	644	0.0079
0.0598	8.0	736	0.0078
0.0598	9.0	828	0.0070
0.0598	10.0	920	0.0065

Framework versions

• Transformers 4.39.3
• Pytorch 2.0.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2