metadata
library_name: transformers
license: apache-2.0
base_model: classla/bcms-bertic
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: classla_bcms_BG
results: []
classla_bcms_BG
This model is a fine-tuned version of classla/bcms-bertic on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5426
- Accuracy: 0.7701
- F1: 0.6
- Precision: 0.4688
- Recall: 0.8333
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 44 | 0.5137 | 0.7471 | 0.5926 | 0.4444 | 0.8889 |
| No log | 2.0 | 88 | 0.4167 | 0.7931 | 0.5909 | 0.5 | 0.7222 |
| No log | 3.0 | 132 | 0.6326 | 0.7241 | 0.6 | 0.4286 | 1.0 |
| No log | 4.0 | 176 | 0.5422 | 0.7701 | 0.6 | 0.4688 | 0.8333 |
| No log | 5.0 | 220 | 0.5426 | 0.7701 | 0.6 | 0.4688 | 0.8333 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0