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git-base-pokemon – AI Model by CaldarianX | AlphaNeural AI
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git-base-pokemon
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transformers
tensorboard
safetensors
git
image-to-text
generated_from_trainer
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 an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5007
eval_wer_score: 20.3256
eval_runtime: 7.8903
eval_samples_per_second: 10.646
eval_steps_per_second: 10.646
epoch: 2.1282
step: 400
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0