File size: 2,685 Bytes
d120972 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
---
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: 0.2180
- Accuracy: 95.3662
- Sentence accuracy: 61.1009
## 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 | 0.7365 | 85.6227 | 26.4220 |
| No log | 0.7326 | 400 | 0.4917 | 89.7247 | 35.4128 |
| 1.0818 | 1.0989 | 600 | 0.3859 | 91.3683 | 42.0183 |
| 1.0818 | 1.4652 | 800 | 0.3291 | 92.7312 | 48.0734 |
| 0.3537 | 1.8315 | 1000 | 0.3010 | 93.3191 | 50.4587 |
| 0.3537 | 2.1978 | 1200 | 0.2756 | 93.9738 | 52.6606 |
| 0.3537 | 2.5641 | 1400 | 0.2665 | 94.2678 | 54.6789 |
| 0.2244 | 2.9304 | 1600 | 0.2540 | 94.4949 | 56.5138 |
| 0.2244 | 3.2967 | 1800 | 0.2494 | 94.6686 | 55.0459 |
| 0.1549 | 3.6630 | 2000 | 0.2410 | 95.0695 | 60.1835 |
| 0.1549 | 4.0293 | 2200 | 0.2380 | 95.0027 | 59.6330 |
| 0.1549 | 4.3956 | 2400 | 0.2393 | 94.9759 | 58.3486 |
| 0.1165 | 4.7619 | 2600 | 0.2350 | 95.1897 | 59.8165 |
### Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
|