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: arphiv
+  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. -->
+
+# arphiv
+
+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: 1.9806
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9802        | 0.1   | 200  | 2.0909          |
+| 1.9764        | 0.2   | 400  | 2.0620          |
+| 1.9247        | 0.3   | 600  | 2.0534          |
+| 2.0485        | 0.4   | 800  | 2.0619          |
+| 1.9351        | 0.5   | 1000 | 2.0143          |
+| 1.9793        | 0.6   | 1200 | 2.0255          |
+| 1.9704        | 0.7   | 1400 | 2.0190          |
+| 1.9144        | 0.8   | 1600 | 1.9922          |
+| 2.0139        | 0.9   | 1800 | 2.0024          |
+| 1.9789        | 1.0   | 2000 | 1.9845          |
+| 1.622         | 1.1   | 2200 | 2.0068          |
+| 1.6057        | 1.2   | 2400 | 2.0123          |
+| 1.6747        | 1.31  | 2600 | 1.9998          |
+| 1.5369        | 1.41  | 2800 | 2.0055          |
+| 1.5566        | 1.51  | 3000 | 2.0138          |
+| 1.3799        | 1.61  | 3200 | 1.9924          |
+| 1.5956        | 1.71  | 3400 | 1.9849          |
+| 1.3932        | 1.81  | 3600 | 1.9926          |
+| 1.4757        | 1.91  | 3800 | 1.9806          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/phi-1_5",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "revision": null,
+  "target_modules": [
+    "Wqkv"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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training_args.bin

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