End of training

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: microsoft/phi-1_5
+model-index:
+- name: phi-1_5-finetuned-addition-v2
+  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. -->
+
+# phi-1_5-finetuned-addition-v2
+
+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: 3.9705
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.4643        | 0.03  | 100  | 4.1741          |
+| 4.1499        | 0.06  | 200  | 4.1183          |
+| 4.1148        | 0.09  | 300  | 4.1006          |
+| 4.0741        | 0.12  | 400  | 4.0455          |
+| 4.0357        | 0.15  | 500  | 4.0199          |
+| 4.0217        | 0.18  | 600  | 3.9980          |
+| 3.9901        | 0.21  | 700  | 3.9866          |
+| 3.9824        | 0.24  | 800  | 3.9775          |
+| 3.9837        | 0.27  | 900  | 3.9710          |
+| 3.9651        | 0.3   | 1000 | 3.9705          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2