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git-base-pokemon – AI Model by Prabesh06 | AlphaNeural AI
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Prabesh06
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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 the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0671
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0762
0.2197
2000
0.0740
0.0735
0.4394
4000
0.0711
0.0712
0.6592
6000
0.0691
0.0693
0.8789
8000
0.0671
Framework versions
Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1
