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gemma_cause_FT – AI Model by zera09 | AlphaNeural AI

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zera09/
gemma_cause_FT

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google/gemma-7b-it

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gemma_cause_FT

This model is a fine-tuned version of google/gemma-7b-it on the None dataset. It achieves the following results on the evaluation set:

eval_loss: nan
eval_runtime: 223.726
eval_samples_per_second: 4.434
eval_steps_per_second: 4.434
epoch: 9.0
step: 4464

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: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

PEFT 0.8.2
Transformers 4.41.1
Pytorch 1.13.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1