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phi-2-conversation-finetuned – AI Model by FirstLast | AlphaNeural AI
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phi-2-conversation-finetuned
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
dphn/dolphin-2_6-phi-2
adapter
mit
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phi-2-conversation-finetuned
This model is a fine-tuned version of
cognitivecomputations/dolphin-2_6-phi-2
on the None 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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 100
training_steps: 500
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.0.0
Datasets 2.18.0
Tokenizers 0.15.2
