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Mbart-stage1-en-si – AI Model by RASHINI01 | AlphaNeural AI
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Mbart-stage1-en-si
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
facebook/mbart-large-50-many-to-many-mmt
finetune
endpoints_compatible
us
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Mbart-stage1-en-si
This model is a fine-tuned version of
facebook/mbart-large-50-many-to-many-mmt
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1131
Cer: 0.0238
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.1474
1.0
10000
0.1437
0.0322
0.1014
2.0
20000
0.1180
0.0263
0.0581
3.0
30000
0.1131
0.0238
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
