End of training

README.md

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+---
+base_model: microsoft/Phi-3.5-mini-instruct
+library_name: peft
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: phi3.5-mini-adapter_v0
+  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-mini-adapter_v0
+
+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: 0.0423
+
+## 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: 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: 0.05
+- training_steps: 250
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 11.9711       | 0.1509 | 10   | 10.5546         |
+| 0.0847        | 0.3019 | 20   | 0.1104          |
+| 0.0989        | 0.4528 | 30   | 0.0840          |
+| 0.0543        | 0.6038 | 40   | 0.0588          |
+| 0.0392        | 0.7547 | 50   | 0.0490          |
+| 0.0447        | 0.9057 | 60   | 0.0457          |
+| 0.0465        | 1.0566 | 70   | 0.0435          |
+| 0.0317        | 1.2075 | 80   | 0.0445          |
+| 0.0443        | 1.3585 | 90   | 0.0423          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.43.1
+- Pytorch 2.4.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

emissions.csv

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runs/Aug21_13-18-10_B650E/events.out.tfevents.1724260907.B650E.898.0

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