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git-base-pokemon – AI Model by geshijoker | AlphaNeural AI
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geshijoker
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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: 0.1599
Wer Score: 5.0450
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
7.1299
12.5
50
4.6555
17.9965
2.9648
25.0
100
1.3396
9.0415
0.714
37.5
150
0.2845
7.8824
0.1933
50.0
200
0.1599
5.0450
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.2.1+cu118
Datasets 2.19.2
Tokenizers 0.19.1
