Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/deberta-v3-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: debertas_seeker
+  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. -->
+
+# debertas_seeker
+
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1085
+- F1: 0.2748
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.0582        | 1.0   | 183  | 1.1088          | 0.1245 |
+| 1.1036        | 2.0   | 366  | 1.1238          | 0.2748 |
+| 1.086         | 3.0   | 549  | 1.1455          | 0.2748 |
+| 1.073         | 4.0   | 732  | 1.1285          | 0.2748 |
+| 1.0916        | 5.0   | 915  | 1.1420          | 0.1245 |
+| 1.0869        | 6.0   | 1098 | 1.1110          | 0.2748 |
+| 1.0621        | 7.0   | 1281 | 1.1171          | 0.2748 |
+| 1.0989        | 8.0   | 1464 | 1.0948          | 0.2748 |
+| 1.0525        | 9.0   | 1647 | 1.1294          | 0.2748 |
+| 1.1366        | 10.0  | 1830 | 1.1037          | 0.2748 |
+| 1.0849        | 11.0  | 2013 | 1.0932          | 0.2748 |
+| 1.0844        | 12.0  | 2196 | 1.1148          | 0.2748 |
+| 1.0925        | 13.0  | 2379 | 1.1049          | 0.2748 |
+| 1.09          | 14.0  | 2562 | 1.1110          | 0.2748 |
+| 1.0739        | 15.0  | 2745 | 1.1129          | 0.2748 |
+| 1.0938        | 16.0  | 2928 | 1.1148          | 0.2748 |
+| 1.0961        | 17.0  | 3111 | 1.0970          | 0.2748 |
+| 1.0834        | 18.0  | 3294 | 1.1065          | 0.2748 |
+| 1.0885        | 19.0  | 3477 | 1.1149          | 0.2748 |
+| 1.0789        | 20.0  | 3660 | 1.1135          | 0.2748 |
+| 1.0893        | 21.0  | 3843 | 1.1135          | 0.2748 |
+| 1.0686        | 22.0  | 4026 | 1.1142          | 0.2748 |
+| 1.041         | 23.0  | 4209 | 1.1108          | 0.2748 |
+| 1.0524        | 24.0  | 4392 | 1.1108          | 0.2748 |
+| 1.0675        | 25.0  | 4575 | 1.1085          | 0.2748 |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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