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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