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CodePhi-3.5-mini-1Klora

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CodePhi-3.5-mini-1Klora

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 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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 ---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: microsoft/Phi-3.5-mini-instruct
+model-index:
+- name: CodePhi-3.5-mini-1Klora
+  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. -->
+# CodePhi-3.5-mini-1Klora
+This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6561
+## 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-06
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+### Training results
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6057        | 0.1   | 100  | 0.7131          |
+| 0.6628        | 0.2   | 200  | 0.6852          |
+| 0.6536        | 0.3   | 300  | 0.6730          |
+| 0.594         | 0.4   | 400  | 0.6656          |
+| 0.6189        | 0.5   | 500  | 0.6606          |
+| 0.6032        | 0.6   | 600  | 0.6577          |
+| 0.6065        | 0.7   | 700  | 0.6564          |
+| 0.5682        | 0.8   | 800  | 0.6562          |
+| 0.5824        | 0.9   | 900  | 0.6562          |
+| 0.54          | 1.0   | 1000 | 0.6561          |
+### Framework versions
+- PEFT 0.11.0
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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