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HT-phase_scale-Phi-80k-phase2 – AI Model by ShourenWSR | AlphaNeural AI

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ShourenWSR/
HT-phase_scale-Phi-80k-phase2

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text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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Phi_phase2_80k

This model is a fine-tuned version of ./saves/2phases/Phi_phase1_80k on the phase2_80k dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 12
total_train_batch_size: 48
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Framework versions

Transformers 4.52.4
Pytorch 2.5.1+cu124
Datasets 2.19.1
Tokenizers 0.21.1