metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ruBert-base-russian-emotions-classifier-goEmotions
results: []
ruBert-base-russian-emotions-classifier-goEmotions
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2606
- Accuracy: 0.8950
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | Accuracy |
|---|---|---|---|---|
| 0.1755 | 1.0 | 1685 | 0.1717 | 0.9220 |
| 0.1391 | 2.0 | 3370 | 0.1757 | 0.9240 |
| 0.0899 | 3.0 | 5055 | 0.2088 | 0.9106 |
| 0.0538 | 4.0 | 6740 | 0.2464 | 0.8953 |
| 0.0344 | 5.0 | 8425 | 0.2606 | 0.8950 |
Framework versions
- Transformers 4.24.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.11.0