End of training

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: microsoft/phi-1_5
+model-index:
+- name: remote_sensing_gpt_expt4
+  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. -->
+
+# remote_sensing_gpt_expt4
+
+This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3855
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.4913        | 1.0   | 916  | 3.4388          |
+| 3.2788        | 2.0   | 1832 | 3.3951          |
+| 3.218         | 3.0   | 2748 | 3.3855          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.36.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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