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git-base-pokemon – AI Model by schubertcarvalho | AlphaNeural AI
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schubertcarvalho
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git-base-pokemon
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transformers
pytorch
git
image-to-text
pokemon-git-captions
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:
Loss: 1.3390
Wer Score: 11.7677
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: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Score
7.2428
16.67
50
4.9155
21.2828
3.5043
33.33
100
2.1489
17.5884
1.7042
50.0
150
1.3390
11.7677
Framework versions
Transformers 4.34.0
Pytorch 2.1.0a0+29c30b1
Datasets 2.14.5
Tokenizers 0.14.1
