---
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