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git-base-test3 – AI Model by YingxuHe | AlphaNeural AI
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YingxuHe
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git-base-test3
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transformers
pytorch
tensorboard
git
image-to-text
generated_from_trainer
mit
endpoints_compatible
us
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git-base-test3
This model is a fine-tuned version of
microsoft/git-base
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0608
eval_wer_score: 21.6785
eval_rouge_score: 0.0467
eval_bert_score: 0.7569
eval_runtime: 34.8187
eval_samples_per_second: 2.901
eval_steps_per_second: 0.373
epoch: 41.11
step: 50500
CIDEr-D: 106.96
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
