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content – AI Model by RedBaron5 | AlphaNeural AI
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transformers
pytorch
led
text2text-generation
generated_from_trainer
xlsum-fi
allenai/led-base-16384
finetune
apache-2.0
endpoints_compatible
us
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allenai/led-base-16384
This model is a fine-tuned version of
allenai/led-base-16384
on the xlsum-fi dataset. It achieves the following results on the evaluation set:
Loss: 3.3962
Rouge2 Precision: 0.0109
Rouge2 Recall: 0.0248
Rouge2 Fmeasure: 0.0152
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
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge2 Precision
Rouge2 Recall
Rouge2 Fmeasure
3.8391
0.32
10
3.5714
0.0062
0.016
0.0089
3.8
0.64
20
3.4777
0.0083
0.0202
0.0115
3.6502
0.96
30
3.3962
0.0109
0.0248
0.0152
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
