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git-base-naruto – AI Model by wennnny | AlphaNeural AI
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wennnny
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git-base-naruto
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transformers
safetensors
git
image-to-text
generated_from_trainer
microsoft/git-base
finetune
mit
endpoints_compatible
us
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git-base-naruto
This model is a fine-tuned version of
microsoft/git-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8334
Wer Score: 11.2335
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Score
6.6454
7.1429
50
4.4251
9.3656
3.0445
14.2857
100
1.8334
11.2335
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.18.0
Tokenizers 0.19.1
