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git-base-pokemon – AI Model by jfanx86 | AlphaNeural AI
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jfanx86
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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: 0.0391
Wer Score: 2.3433
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: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Score
No log
2.0833
25
0.0365
3.3472
0.0022
4.1667
50
0.0383
2.3199
0.0022
6.25
75
0.0384
2.8114
0.0005
8.3333
100
0.0391
2.3433
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
