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TimeSformer-GPT2-UCF-UCA-02 – AI Model by NourFakih | AlphaNeural AI

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NourFakih/
TimeSformer-GPT2-UCF-UCA-02

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vision-encoder-decoder

generated_from_trainer

Neleac/SpaceTimeGPT

endpoints_compatible

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TimeSformer-GPT2-UCF-UCA-02

This model is a fine-tuned version of Neleac/SpaceTimeGPT on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 4.3706
eval_rouge1: 9.5969
eval_rouge2: 2.3269
eval_rougeL: 7.905
eval_rougeLsum: 8.1875
eval_gen_len: 86.3
eval_runtime: 35.711
eval_samples_per_second: 0.28
eval_steps_per_second: 0.28
epoch: 0.0670
step: 500

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-06
train_batch_size: 1
eval_batch_size: 1
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

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0