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mt-pre-RLHF-v2 – AI Model by crslnjoyz | AlphaNeural AI
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mt-pre-RLHF-v2
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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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mt-pre-RLHF-v2
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: 0.0197
Bleu: 89.6481
Chrf: 93.7387
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.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: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Chrf
0.1292
2.1462
500
0.0833
89.4254
92.7229
0.0596
4.2925
1000
0.0333
90.8456
94.3491
0.0502
6.4387
1500
0.0236
92.7048
94.7603
0.0429
8.5849
2000
0.0197
89.6481
93.7387
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
