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TimeSformer-GPT2-UCF-mini – AI Model by NourFakih | AlphaNeural AI
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NourFakih
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TimeSformer-GPT2-UCF-mini
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transformers
tensorboard
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
Neleac/SpaceTimeGPT
finetune
endpoints_compatible
us
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TimeSformer-GPT2-UCF-mini
This model is a fine-tuned version of
Neleac/SpaceTimeGPT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3065
Rouge1: 23.736
Rouge2: 1.0376
Rougel: 18.1037
Rougelsum: 18.4236
Gen Len: 31.2877
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: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.1547
2.4876
500
0.3065
23.736
1.0376
18.1037
18.4236
31.2877
Framework versions
Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
