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twiiter-image-sentiment-resnet50-ft – AI Model by prodm93 | AlphaNeural AI
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twiiter-image-sentiment-resnet50-ft
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transformers
safetensors
resnet
image-classification
generated_from_trainer
imagefolder
microsoft/resnet-50
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Model card
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img_twitter_test
This model is a fine-tuned version of
microsoft/resnet-50
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 1.0959
Accuracy: 0.3604
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: 0.1
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.1706
1.0
61
1.1410
0.3737
1.108
2.0
122
1.0930
0.3470
1.1057
3.0
183
1.1984
0.3439
1.0956
4.0
244
1.0968
0.3491
1.0959
5.0
305
1.0959
0.3604
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu121
Datasets 3.4.1
Tokenizers 0.21.1
