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LongFormer-docNMT – AI Model by FiveC | AlphaNeural AI
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FiveC
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LongFormer-docNMT
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safetensors
led
generated_from_trainer
allenai/led-base-16384
finetune
apache-2.0
us
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LongFormer-docNMT
This model is a fine-tuned version of
allenai/led-base-16384
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6309
Bleu: 17.1793
Meteor: 0.3591
Comet: 0.4192
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Meteor
Comet
3.1806
1.0
197
1.9841
10.0127
0.2483
0.3147
2.0319
2.0
394
1.7005
15.4518
0.3323
0.3909
1.7954
3.0
591
1.6309
17.1793
0.3591
0.4192
Framework versions
Transformers 4.41.2
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.19.1
