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aana-soccer-no-pretraining-weight-balanced-2_2.0_720-combined-finetuned – AI Model by appoose | AlphaNeural AI
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aana-soccer-no-pretraining-weight-balanced-2_2.0_720-combined-finetuned
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safetensors
generated_from_trainer
HuggingFaceM4/idefics2-8b
finetune
apache-2.0
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aana-soccer-no-pretraining-weight-balanced-2_2.0_720-combined-finetuned
This model is a fine-tuned version of
HuggingFaceM4/idefics2-8b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0269
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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 2
Training results
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
