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git-base-pokemon – AI Model by akkaro | AlphaNeural AI
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akkaro
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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:
Loss: 0.0573
Wer Score: 0.6707
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Score
7.4065
2.1277
50
4.7483
20.4625
2.9029
4.2553
100
1.1386
12.1695
0.5188
6.3830
150
0.1472
0.7676
0.0871
8.5106
200
0.0573
0.6707
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
