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Model: fpadovani/bnc_np_13
Source: Original Platform

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: bnc_np_13
+  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. -->
+
+# bnc_np_13
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.5656
+
+## 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: 0.0001
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 13
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 7.1094        | 1.0   | 392  | 6.3174          |
+| 6.0963        | 2.0   | 784  | 6.0241          |
+| 5.8833        | 3.0   | 1176 | 5.8841          |
+| 5.7525        | 4.0   | 1568 | 5.7884          |
+| 5.6482        | 5.0   | 1960 | 5.7186          |
+| 5.5583        | 6.0   | 2352 | 5.6633          |
+| 5.4779        | 7.0   | 2744 | 5.6206          |
+| 5.4029        | 8.0   | 3136 | 5.5869          |
+| 5.3324        | 9.0   | 3528 | 5.5624          |
+| 5.2657        | 10.0  | 3920 | 5.5448          |
+| 5.2018        | 11.0  | 4312 | 5.5366          |
+| 5.1412        | 12.0  | 4704 | 5.5319          |
+| 5.0841        | 13.0  | 5096 | 5.5317          |
+| 5.0297        | 14.0  | 5488 | 5.5334          |
+| 4.9798        | 15.0  | 5880 | 5.5384          |
+| 4.9364        | 16.0  | 6272 | 5.5474          |
+| 4.899         | 17.0  | 6664 | 5.5531          |
+| 4.8676        | 18.0  | 7056 | 5.5596          |
+| 4.8422        | 19.0  | 7448 | 5.5622          |
+| 4.823         | 20.0  | 7840 | 5.5656          |
+
+
+### Framework versions
+
+- Transformers 4.56.1
+- Pytorch 2.8.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.0