metadata
library_name: transformers
license: mit
base_model: sergeyzh/rubert-tiny-turbo
tags:
- generated_from_trainer
metrics:
- accuracy
- recall
- precision
- f1
model-index:
- name: results2
results: []
results2
This model is a fine-tuned version of sergeyzh/rubert-tiny-turbo on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4427
- Accuracy: 0.9538
- Recall: 0.7081
- Precision: 0.6196
- F1: 0.6609
- Roc Auc: 0.9492
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.5363 | 1.0 | 634 | 0.4125 | 0.9290 | 0.7143 | 0.4618 | 0.5610 | 0.9315 |
| 0.3492 | 2.0 | 1268 | 0.3806 | 0.9448 | 0.7143 | 0.5502 | 0.6216 | 0.9475 |
| 0.3259 | 3.0 | 1902 | 0.4427 | 0.9538 | 0.7081 | 0.6196 | 0.6609 | 0.9492 |
| 0.1526 | 4.0 | 2536 | 0.6152 | 0.9546 | 0.7143 | 0.625 | 0.6667 | 0.9414 |
| 0.0028 | 5.0 | 3170 | 0.7408 | 0.9606 | 0.6708 | 0.6968 | 0.6835 | 0.9380 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0