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summary-bbc-dataset-v1 – AI Model by ifyou819 | AlphaNeural AI
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summary-bbc-dataset-v1
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transformers
tensorboard
safetensors
pegasus
text2text-generation
generated_from_trainer
PoseyATX/GPTxLege_FoxHunter
finetune
endpoints_compatible
us
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summary-bbc-dataset-v1
This model is a fine-tuned version of
PoseyATX/GPTxLege_FoxHunter
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.8733
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: 2e-06
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
5.3275
1.0
389
5.3573
5.1096
2.0
778
5.1024
5.7329
3.0
1167
5.0001
6.2833
4.0
1556
4.9710
ROUGE
ROUGE-1: 0.4555177432971288
ROUGE-2: 0.2918478981968574
ROUGE-L: 0.36247028344366283
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1
