End of training
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README.md
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---
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base_model: microsoft/phi-1_5
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datasets:
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- dialogstudio
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library_name: peft
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license: mit
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: phi-1_5-finetuned-dialogstudio
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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-dialogstudio
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the dialogstudio dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2433
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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: 4
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- eval_batch_size: 8
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- seed: 42
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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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- training_steps: 3
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### Training results
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Aug06_18-10-51_5407631a8099/events.out.tfevents.1722967859.5407631a8099.657.0
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size 6690
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runs/Aug06_18-10-51_5407631a8099/events.out.tfevents.1722967882.5407631a8099.657.1
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