metadata
base_model: DeepPavlov/rubert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: vashkontrol-sentiment-rubert
results: []
vashkontrol-sentiment-rubert
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: 0.1085
- F1: 0.9461
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0992 | 1.0 | 1391 | 0.0737 | 0.9337 |
| 0.0585 | 2.0 | 2782 | 0.0616 | 0.9384 |
| 0.0358 | 3.0 | 4173 | 0.0787 | 0.9441 |
| 0.0221 | 4.0 | 5564 | 0.0918 | 0.9488 |
| 0.0106 | 5.0 | 6955 | 0.1085 | 0.9461 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3