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README.md
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# phi-1_5-pl-v_0_1
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This model is
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## Model description
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## Training and evaluation data
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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: 2
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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### Training results
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### Framework versions
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# phi-1_5-pl-v_0_1
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This model is based on [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5). It is trained from scratch on the 20231201 Polish Wikipedia dump.
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## Model description
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## Training and evaluation data
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The 20231201 Polish Wikipedia dump.
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## Training procedure
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### Training environment
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GPU: 4 x RTX4090 (24GB per GPU, 96GB total)
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CPU: AMD EPYC 75F3 32-core (128 virtual cores)
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RAM: 258GB
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Motherboard: ROME2D32GM PCLe 4.0, 16x
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Storage: nvme 194.0GB
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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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- distributed_type: multi-GPU
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- num_devices: 4
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- train_batch_size: 2
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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- seed: 42
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### Training results
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train_loss: 2.727
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### Framework versions
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