Model save

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: microsoft/Phi-3.5-mini-instruct
+model-index:
+- name: phi3.5-hugcoder
+  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. -->
+
+# phi3.5-hugcoder
+
+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: 0.6832
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.1   | 10   | 0.5937          |
+| No log        | 0.2   | 20   | 0.4756          |
+| No log        | 0.3   | 30   | 0.4394          |
+| No log        | 0.4   | 40   | 0.4419          |
+| 0.5311        | 0.5   | 50   | 0.4827          |
+| 0.5311        | 0.6   | 60   | 0.5897          |
+| 0.5311        | 0.7   | 70   | 0.5495          |
+| 0.5311        | 0.8   | 80   | 0.6268          |
+| 0.5311        | 0.9   | 90   | 0.6744          |
+| 0.1769        | 1.0   | 100  | 0.6832          |
+
+
+### Framework versions
+
+- PEFT 0.11.0
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1