End of training

README.md

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+---
+library_name: peft
+license: mit
+base_model: HuggingFaceH4/zephyr-7b-beta
+tags:
+- generated_from_trainer
+model-index:
+- name: zephyr-7b-beta-009-3000
+  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. -->
+
+# zephyr-7b-beta-009-3000
+
+This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3982
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0228        | 0.8658 | 100  | 1.0526          |
+| 0.8533        | 1.7273 | 200  | 0.8571          |
+| 0.7221        | 2.5887 | 300  | 0.7287          |
+| 0.5558        | 3.4502 | 400  | 0.6356          |
+| 0.5201        | 4.3117 | 500  | 0.5765          |
+| 0.4312        | 5.1732 | 600  | 0.5131          |
+| 0.3982        | 6.0346 | 700  | 0.4702          |
+| 0.3737        | 6.9004 | 800  | 0.4441          |
+| 0.3465        | 7.7619 | 900  | 0.4242          |
+| 0.3485        | 8.6234 | 1000 | 0.4079          |
+| 0.2942        | 9.4848 | 1100 | 0.3982          |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

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