metadata
library_name: transformers
base_model: blepine/modernFinBERTLarge
tags:
- generated_from_trainer
model-index:
- name: modernFinBERTLarge2
results: []
modernFinBERTLarge2
This model is a fine-tuned version of blepine/modernFinBERTLarge on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5898
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: 9e-07
- train_batch_size: 4
- eval_batch_size: 4
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7102 | 1.0 | 5364 | 2.6690 |
| 2.7277 | 2.0 | 10728 | 2.6420 |
| 2.6433 | 3.0 | 16092 | 2.5801 |
| 2.6457 | 4.0 | 21456 | 2.5898 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0