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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: 0.2217
- Accuracy: 95.3248
- Sentence accuracy: 60.9174
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
| No log | 0.3663 | 200 | 0.7237 | 85.5158 | 26.0550 |
| No log | 0.7326 | 400 | 0.4818 | 89.8049 | 35.5963 |
| 1.0871 | 1.0989 | 600 | 0.3723 | 91.5687 | 41.6514 |
| 1.0871 | 1.4652 | 800 | 0.3279 | 92.7312 | 44.9541 |
| 0.3561 | 1.8315 | 1000 | 0.2988 | 93.3592 | 51.3761 |
| 0.3561 | 2.1978 | 1200 | 0.2634 | 94.0673 | 54.8624 |
| 0.3561 | 2.5641 | 1400 | 0.2602 | 94.4415 | 54.6789 |
| 0.2248 | 2.9304 | 1600 | 0.2505 | 94.5216 | 55.5963 |
| 0.2248 | 3.2967 | 1800 | 0.2429 | 94.8557 | 56.1468 |
| 0.1569 | 3.6630 | 2000 | 0.2391 | 94.8824 | 56.6972 |
| 0.1569 | 4.0293 | 2200 | 0.2377 | 94.9359 | 58.3486 |
| 0.1569 | 4.3956 | 2400 | 0.2349 | 95.1096 | 58.5321 |
| 0.1158 | 4.7619 | 2600 | 0.2332 | 95.2833 | 59.6330 |
### Framework versions
- Transformers 4.57.3
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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