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README.md
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---
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license: other
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base_model: microsoft/phi-1_5
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tags:
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- generated_from_trainer
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model-index:
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- name: phi-1_5-finetuned-model-classification
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# phi-1_5-finetuned-model-classification
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.4343
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0004
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- training_steps: 2000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.6171 | 4.0 | 250 | 2.7650 |
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| 2.3312 | 8.0 | 500 | 2.7894 |
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| 1.9386 | 12.0 | 750 | 2.9510 |
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| 1.4978 | 16.0 | 1000 | 3.2375 |
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| 1.0947 | 20.0 | 1250 | 3.7212 |
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| 0.8685 | 24.0 | 1500 | 4.1141 |
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| 0.7308 | 28.0 | 1750 | 4.3801 |
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| 0.6995 | 32.0 | 2000 | 4.4343 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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