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SwinV2-GPT2_Mimic – AI Model by ChayanM | AlphaNeural AI
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ChayanM
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SwinV2-GPT2_Mimic
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transformers
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
endpoints_compatible
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SwinV2-GPT2_Mimic
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1623
Rouge1: 30.2654
Rouge2: 21.4825
Rougel: 30.2471
Rougelsum: 30.3167
Gen Len: 9.0
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
125
0.1705
30.2654
21.4825
30.2471
30.3167
9.0
No log
2.0
250
0.1623
30.2654
21.4825
30.2471
30.3167
9.0
Framework versions
Transformers 4.37.1
Pytorch 1.13.1+cu117
Datasets 2.15.0
Tokenizers 0.15.1
