Training completed!
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README.md
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---
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license: mit
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: microsoft/phi-2
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model-index:
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- name: final-checkpoint
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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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# final-checkpoint
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3274
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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: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 1
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- training_steps: 400
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.6563 | 0.05 | 25 | 1.3900 |
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| 1.1883 | 0.1 | 50 | 1.3818 |
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| 1.4433 | 0.15 | 75 | 1.3524 |
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| 1.203 | 0.2 | 100 | 1.3627 |
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| 1.4397 | 0.25 | 125 | 1.3451 |
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| 1.1394 | 0.3 | 150 | 1.3585 |
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| 1.4034 | 0.35 | 175 | 1.3412 |
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| 1.1449 | 0.4 | 200 | 1.3406 |
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| 1.4447 | 0.45 | 225 | 1.3342 |
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| 1.2276 | 0.5 | 250 | 1.3345 |
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| 1.4556 | 0.55 | 275 | 1.3313 |
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| 1.1622 | 0.6 | 300 | 1.3302 |
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| 1.4267 | 0.65 | 325 | 1.3286 |
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| 1.2025 | 0.7 | 350 | 1.3285 |
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| 1.3953 | 0.75 | 375 | 1.3275 |
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| 1.188 | 0.8 | 400 | 1.3274 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.39.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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