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_v1
+  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_v1
+
+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: 0.0998
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 14.2062       | 0.6061 | 10   | 13.2015         |
+| 5.0286        | 1.2121 | 20   | 3.9207          |
+| 0.248         | 1.8182 | 30   | 0.2396          |
+| 0.1801        | 2.4242 | 40   | 0.1860          |
+| 0.1496        | 3.0303 | 50   | 0.1639          |
+| 0.212         | 3.6364 | 60   | 0.1333          |
+| 0.0822        | 4.2424 | 70   | 0.1134          |
+| 0.07          | 4.8485 | 80   | 0.1061          |
+| 0.0871        | 5.4545 | 90   | 0.1178          |
+| 0.0645        | 6.0606 | 100  | 0.1017          |
+| 0.0558        | 6.6667 | 110  | 0.0998          |
+
+
+### 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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