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idefics2-8b-manuals-ft-v4 – AI Model by Emna102 | AlphaNeural AI
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idefics2-8b-manuals-ft-v4
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safetensors
generated_from_trainer
HuggingFaceM4/idefics2-8b
finetune
apache-2.0
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idefics2-8b-manuals-ft-v4
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: 5.7217
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
15.1103
1.1299
25
14.9539
13.8953
2.2599
50
12.0379
8.7424
3.3898
75
5.7217
Framework versions
Transformers 4.43.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
