blepine/modernFinBERTLarge2

1---2library_name: transformers3base_model: blepine/modernFinBERTLarge4tags:5- generated_from_trainer6model-index:7- name: modernFinBERTLarge28  results: []9---10 11<!-- This model card has been generated automatically according to the information the Trainer had access to. You12should probably proofread and complete it, then remove this comment. -->13 14# modernFinBERTLarge215 16This model is a fine-tuned version of [blepine/modernFinBERTLarge](https://huggingface.co/blepine/modernFinBERTLarge) on an unknown dataset.17It achieves the following results on the evaluation set:18- Loss: 2.589819 20## Model description21 22More information needed23 24## Intended uses & limitations25 26More information needed27 28## Training and evaluation data29 30More information needed31 32## Training procedure33 34### Training hyperparameters35 36The following hyperparameters were used during training:37- learning_rate: 9e-0738- train_batch_size: 439- eval_batch_size: 440- seed: 4241- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments42- lr_scheduler_type: linear43- num_epochs: 444 45### Training results46 47| Training Loss | Epoch | Step  | Validation Loss |48|:-------------:|:-----:|:-----:|:---------------:|49| 2.7102        | 1.0   | 5364  | 2.6690          |50| 2.7277        | 2.0   | 10728 | 2.6420          |51| 2.6433        | 3.0   | 16092 | 2.5801          |52| 2.6457        | 4.0   | 21456 | 2.5898          |53 54 55### Framework versions56 57- Transformers 4.48.0.dev058- Pytorch 2.5.0+cu12459- Datasets 3.1.060- Tokenizers 0.21.061