End of training

README.md

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+---
+license: other
+base_model: microsoft/phi-1_5
+tags:
+- generated_from_trainer
+model-index:
+- name: phi-1_5-finetuned-model-instruction
+  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. -->
+
+# phi-1_5-finetuned-model-instruction
+
+This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0478
+
+## 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: 0.0004
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.1228        | 0.81  | 250  | 2.1649          |
+| 2.0486        | 1.62  | 500  | 2.1162          |
+| 1.9924        | 2.44  | 750  | 2.0775          |
+| 1.9132        | 3.25  | 1000 | 2.0590          |
+| 1.8639        | 4.06  | 1250 | 2.0433          |
+| 1.8384        | 4.87  | 1500 | 2.0478          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1