End of training

README.md

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+---
+license: other
+base_model: microsoft/phi-1_5
+tags:
+- generated_from_trainer
+datasets:
+- scitldr
+model-index:
+- name: uplimit-project-3-phi-1.5
+  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. -->
+
+# uplimit-project-3-phi-1.5
+
+This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the scitldr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5341
+
+## 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: 0.001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.5552        | 0.1   | 200  | 2.5967          |
+| 2.5715        | 0.2   | 400  | 2.5896          |
+| 2.5357        | 0.3   | 600  | 2.5785          |
+| 2.5818        | 0.4   | 800  | 2.5674          |
+| 2.5451        | 0.5   | 1000 | 2.5583          |
+| 2.5754        | 0.6   | 1200 | 2.5543          |
+| 2.5495        | 0.7   | 1400 | 2.5468          |
+| 2.5289        | 0.8   | 1600 | 2.5397          |
+| 2.5787        | 0.9   | 1800 | 2.5341          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+}

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