Squash history to reclaim storage after removing optimizer states

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README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: cds_np_30
+  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. -->
+
+# cds_np_30
+
+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: 3.1222
+
+## 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: 30
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.8295        | 1.0   | 495  | 3.7844          |
+| 3.5371        | 2.0   | 990  | 3.4360          |
+| 3.2797        | 3.0   | 1485 | 3.2933          |
+| 3.1349        | 4.0   | 1980 | 3.2079          |
+| 3.0332        | 5.0   | 2475 | 3.1528          |
+| 2.9527        | 6.0   | 2970 | 3.1139          |
+| 2.8841        | 7.0   | 3465 | 3.0916          |
+| 2.824         | 8.0   | 3960 | 3.0747          |
+| 2.7682        | 9.0   | 4455 | 3.0630          |
+| 2.7163        | 10.0  | 4950 | 3.0596          |
+| 2.6677        | 11.0  | 5445 | 3.0574          |
+| 2.6216        | 12.0  | 5940 | 3.0626          |
+| 2.576         | 13.0  | 6435 | 3.0706          |
+| 2.5352        | 14.0  | 6930 | 3.0741          |
+| 2.4975        | 15.0  | 7425 | 3.0858          |
+| 2.4642        | 16.0  | 7920 | 3.0938          |
+| 2.435         | 17.0  | 8415 | 3.1037          |
+| 2.4088        | 18.0  | 8910 | 3.1112          |
+| 2.3869        | 19.0  | 9405 | 3.1176          |
+| 2.3697        | 20.0  | 9900 | 3.1222          |
+
+
+### Framework versions
+
+- Transformers 4.56.1
+- Pytorch 2.8.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.0

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