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git-base-pokemon – AI Model by SalihaE | AlphaNeural AI
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SalihaE
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git-base-pokemon
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transformers
tensorboard
safetensors
git
image-to-text
generated_from_trainer
imagefolder
microsoft/git-base
finetune
mit
endpoints_compatible
us
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git-base-pokemon
This model is a fine-tuned version of
microsoft/git-base
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 4.6168
Wer Score: 1.7132
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Score
3.2386
50.0
50
4.6168
1.7132
Framework versions
Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
