metadata
base_model: mor40/BulBERT-finetuned-cinexio
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BulBERT-cinexio-5pochs
results: []
BulBERT-cinexio-5pochs
This model is a fine-tuned version of mor40/BulBERT-finetuned-cinexio on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1071
- Accuracy: 0.97
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: 128
- eval_batch_size: 128
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 388 | 0.2160 | 0.92 |
| 0.244 | 2.0 | 776 | 0.1136 | 0.95 |
| 0.2092 | 3.0 | 1164 | 0.1366 | 0.95 |
| 0.1607 | 4.0 | 1552 | 0.1228 | 0.94 |
| 0.1607 | 5.0 | 1940 | 0.1071 | 0.97 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1