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mbart-large-50-finetuned-latest2 – AI Model by october-sd | AlphaNeural AI
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mbart-large-50-finetuned-latest2
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transformers
tensorboard
safetensors
mbart
text2text-generation
summarization
generated_from_trainer
facebook/mbart-large-50
finetune
mit
endpoints_compatible
us
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mbart-large-50-finetuned-latest2
This model is a fine-tuned version of
facebook/mbart-large-50
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7745
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-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
183
2.7751
No log
2.0
367
2.7959
No log
3.0
550
2.4704
No log
4.0
734
2.4475
No log
5.0
917
2.4498
No log
6.0
1101
2.4558
No log
6.99
1284
2.4719
No log
7.98
1464
2.7745
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.2
