End of training

README.md

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+---
+library_name: peft
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B
+tags:
+- generated_from_trainer
+model-index:
+- name: ukr-bg-llama32-1b-qlora
+  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. -->
+
+# ukr-bg-llama32-1b-qlora
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9872
+
+## 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: 0.0002
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.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: 125
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.526         | 0.16  | 1000 | 1.0528          |
+| 0.4937        | 0.32  | 2000 | 1.0308          |
+| 0.4846        | 0.48  | 3000 | 1.0155          |
+| 0.4954        | 0.64  | 4000 | 1.0034          |
+| 0.5046        | 0.8   | 5000 | 0.9935          |
+| 0.4889        | 0.96  | 6000 | 0.9872          |
+
+
+### Framework versions
+
+- PEFT 0.15.1
+- Transformers 4.47.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

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