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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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# trainer_output
This model is a fine-tuned version of [AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs](https://huggingface.co/AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3048
- Accuracy: 96.0396
- 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: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-----------------:|
| 1.0056 | 1.0 | 546 | 0.3472 | 92.4552 | 44.0367 |
| 0.3162 | 2.0 | 1092 | 0.2379 | 94.3602 | 53.3945 |
| 0.2008 | 3.0 | 1638 | 0.2177 | 94.6359 | 54.1284 |
| 0.1436 | 4.0 | 2184 | 0.2147 | 94.9743 | 55.9633 |
| 0.111 | 5.0 | 2730 | 0.2067 | 95.3754 | 59.0826 |
| 0.0842 | 6.0 | 3276 | 0.2132 | 95.5258 | 59.0826 |
| 0.0643 | 7.0 | 3822 | 0.2264 | 95.4506 | 60.3670 |
| 0.0481 | 8.0 | 4368 | 0.2335 | 95.5007 | 59.8165 |
| 0.0389 | 9.0 | 4914 | 0.2442 | 95.6761 | 58.8991 |
| 0.0305 | 10.0 | 5460 | 0.2603 | 95.6260 | 59.0826 |
| 0.0197 | 11.0 | 6006 | 0.2640 | 95.6135 | 60.3670 |
| 0.015 | 12.0 | 6552 | 0.2649 | 95.8140 | 60.1835 |
| 0.0122 | 13.0 | 7098 | 0.2686 | 95.6135 | 59.8165 |
| 0.0093 | 14.0 | 7644 | 0.2790 | 95.5508 | 59.6330 |
| 0.0065 | 15.0 | 8190 | 0.2735 | 95.7764 | 60.3670 |
| 0.0069 | 16.0 | 8736 | 0.2867 | 95.8641 | 61.8349 |
| 0.005 | 17.0 | 9282 | 0.2903 | 95.8892 | 60.9174 |
| 0.0041 | 18.0 | 9828 | 0.2934 | 95.9519 | 61.4679 |
| 0.0027 | 19.0 | 10374 | 0.3040 | 95.9017 | 61.2844 |
| 0.0031 | 20.0 | 10920 | 0.3044 | 95.9393 | 61.1009 |
| 0.0026 | 21.0 | 11466 | 0.2994 | 95.9895 | 61.1009 |
| 0.0016 | 22.0 | 12012 | 0.3033 | 95.9769 | 61.1009 |
| 0.0012 | 23.0 | 12558 | 0.3034 | 96.0271 | 60.9174 |
| 0.0011 | 24.0 | 13104 | 0.3028 | 96.0271 | 61.2844 |
| 0.0012 | 25.0 | 13650 | 0.3048 | 96.0396 | 60.7339 |
### Framework versions
- Transformers 4.57.3
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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