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results_pretrain_gemma_more_pause – AI Model by VirgiF | AlphaNeural AI

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VirgiF/
results_pretrain_gemma_more_pause

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text-generation

generated_from_trainer

google/gemma-2b

autotrain_compatible

text-generation-inference

endpoints_compatible

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results_pretrain_gemma_more_pause

This model is a fine-tuned version of google/gemma-2b 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: 2e-05
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.1.2+cu121
Datasets 2.19.1
Tokenizers 0.19.1