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paligemma-hin-v8 – AI Model by damerajee | AlphaNeural AI

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damerajee/
paligemma-hin-v8

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google/paligemma-3b-pt-224

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paligemma-hin-v8

This model is a fine-tuned version of google/paligemma-3b-pt-224 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 5.3798
eval_runtime: 400.8311
eval_samples_per_second: 1.25
eval_steps_per_second: 1.25
epoch: 0.0129
step: 40

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

PEFT 0.11.1
Transformers 4.42.0.dev0
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1