metadata
library_name: transformers
license: apache-2.0
base_model: AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trainer_output
results: []
trainer_output
This model is a fine-tuned version of AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2729
- Accuracy: 95.5104
- Sentence accuracy: 60.7339
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy |
|---|---|---|---|---|---|
| 1.0799 | 1.0 | 546 | 0.3960 | 90.8605 | 37.6147 |
| 0.3583 | 2.0 | 1092 | 0.2930 | 93.3725 | 51.9266 |
| 0.2307 | 3.0 | 1638 | 0.2578 | 94.1742 | 54.3119 |
| 0.1588 | 4.0 | 2184 | 0.2583 | 94.2945 | 52.8440 |
| 0.1141 | 5.0 | 2730 | 0.2439 | 94.8557 | 56.5138 |
| 0.0831 | 6.0 | 3276 | 0.2520 | 95.2031 | 59.2661 |
| 0.0614 | 7.0 | 3822 | 0.2659 | 95.2699 | 58.7156 |
| 0.0433 | 8.0 | 4368 | 0.2624 | 95.3234 | 58.8991 |
| 0.0315 | 9.0 | 4914 | 0.2714 | 95.5772 | 61.4679 |
| 0.0245 | 10.0 | 5460 | 0.2729 | 95.5104 | 60.7339 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2