End of training
Browse files
README.md
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# phi_finetuned2.0
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size:
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- eval_batch_size:
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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:
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-
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### Framework versions
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# phi_finetuned2.0
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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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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 12
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- total_train_batch_size: 12
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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: 100
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"dense",
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"fc2",
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"q_proj",
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"k_proj"
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],
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"fc2",
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"v_proj",
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"dense",
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"q_proj",
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"k_proj"
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],
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adapter_model.safetensors
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training_args.bin
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