metadata
base_model: youscan/ukr-roberta-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: gec_uk_seq2tag
results: []
gec_uk_seq2tag
This model is a fine-tuned version of youscan/ukr-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2885
- Precision: 0.5978
- Recall: 0.4263
- F1: 0.4977
- Accuracy: 0.9550
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: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 202 | 0.3200 | 0.5468 | 0.3189 | 0.4028 | 0.9493 |
| No log | 2.0 | 405 | 0.2860 | 0.5904 | 0.3765 | 0.4598 | 0.9539 |
| 0.3194 | 3.0 | 608 | 0.2843 | 0.5733 | 0.4437 | 0.5002 | 0.9538 |
| 0.3194 | 4.0 | 811 | 0.2885 | 0.5978 | 0.4263 | 0.4977 | 0.9550 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.15.1