End of training

README.md

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+---
+base_model: microsoft/Phi-3-mini-4k-instruct
+library_name: peft
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: phi3-mini-4k-adapter_3
+  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-mini-4k-adapter_3
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1650
+
+## 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: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- training_steps: 200
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 9.3301        | 0.9091 | 10   | 7.3651          |
+| 0.24          | 1.8182 | 20   | 0.2340          |
+| 0.1173        | 2.7273 | 30   | 0.1572          |
+| 0.0836        | 3.6364 | 40   | 0.1480          |
+| 0.0681        | 4.5455 | 50   | 0.1554          |
+| 0.0607        | 5.4545 | 60   | 0.1496          |
+| 0.0555        | 6.3636 | 70   | 0.1650          |
+
+
+### 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/Aug14_03-13-31_G14/events.out.tfevents.1723619618.G14.15419.0

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