End of training

README.md

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+---
+license: other
+base_model: microsoft/phi-1_5
+tags:
+- generated_from_trainer
+model-index:
+- name: phi1_5_alpaca_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. -->
+
+# phi1_5_alpaca_Qlora
+
+This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9717
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1046        | 0.16  | 1000 | 1.1014          |
+| 0.9635        | 0.24  | 1500 | 1.0126          |
+| 1.022         | 0.31  | 2000 | 0.9848          |
+| 1.0402        | 0.39  | 2500 | 0.9818          |
+| 0.9899        | 0.47  | 3000 | 0.9766          |
+| 1.0379        | 0.55  | 3500 | 0.9752          |
+| 1.0046        | 0.63  | 4000 | 0.9744          |
+| 1.0452        | 0.71  | 4500 | 0.9738          |
+| 1.0428        | 0.79  | 5000 | 0.9732          |
+| 0.9916        | 0.86  | 5500 | 0.9721          |
+| 1.0083        | 0.94  | 6000 | 0.9717          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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