blepine/modernFinBERTo2-Large_2.0
Browse files- README.md +65 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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base_model: blepine/modernFinBERTLarge2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: modernFinBERTo2-Large_2.0
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# modernFinBERTo2-Large_2.0
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This model is a fine-tuned version of [blepine/modernFinBERTLarge2](https://huggingface.co/blepine/modernFinBERTLarge2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4427
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- Accuracy: 0.2905
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- F1: 0.2775
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 9e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 2.9283 | 1.0 | 744 | 2.7684 | 0.2829 | 0.2425 |
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| 2.1264 | 2.0 | 1488 | 2.4368 | 0.3041 | 0.2825 |
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| 1.5815 | 3.0 | 2232 | 2.4427 | 0.2905 | 0.2775 |
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### Framework versions
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- Transformers 4.48.0.dev0
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- Pytorch 2.5.0+cu124
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- Datasets 3.1.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1583769848
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version https://git-lfs.github.com/spec/v1
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size 1583769848
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