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: 2.4488
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.4056        | 0.1   | 200  | 2.4951          |
+| 2.4108        | 0.2   | 400  | 2.4877          |
+| 2.3732        | 0.3   | 600  | 2.4823          |
+| 2.4148        | 0.4   | 800  | 2.4741          |
+| 2.3768        | 0.5   | 1000 | 2.4746          |
+| 2.4095        | 0.6   | 1200 | 2.4632          |
+| 2.3931        | 0.7   | 1400 | 2.4600          |
+| 2.3644        | 0.8   | 1600 | 2.4500          |
+| 2.4092        | 0.9   | 1800 | 2.4488          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.1.0
+- Datasets 2.14.5
+- Tokenizers 0.14.1

adapter_config.json

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+}

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