metadata
library_name: transformers
base_model: ania3000/untrained-ossbert-e
tags:
- generated_from_trainer
model-index:
- name: demo-ossbert-e
results: []
demo-ossbert-e
This model is a fine-tuned version of ania3000/untrained-ossbert-e on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.8912
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 |
|---|---|---|---|
| No log | 0.9950 | 200 | 6.3310 |
| No log | 1.9900 | 400 | 6.0733 |
| No log | 2.9851 | 600 | 5.9656 |
| No log | 3.9801 | 800 | 5.9153 |
| No log | 4.9751 | 1000 | 5.8912 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1