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seq2seq_transformers_imlla – AI Model by aalof | AlphaNeural AI
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seq2seq_transformers_imlla
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
iva_mt_wslot
facebook/bart-large
finetune
apache-2.0
model-index
endpoints_compatible
us
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seq2seq_transformers_imlla
This model is a fine-tuned version of
facebook/bart-large
on the iva_mt_wslot dataset. It achieves the following results on the evaluation set:
Loss: 1.1132
Bleu: 20.6887
Gen Len: 17.8739
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.7905
1.0
1273
1.1132
20.6887
17.8739
Framework versions
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
