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seq2seq – AI Model by gs224 | AlphaNeural AI
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gs224
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seq2seq
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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
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: 1.1103
Bleu: 20.3646
Gen Len: 17.8886
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.6673
1.0
1273
1.2760
17.6152
17.5786
1.1375
2.0
2546
1.1103
20.3646
17.8886
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
