metadata
base_model: DeepPavlov/rubert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-finetuned-tags-rus
results: []
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