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BartPho_base – AI Model by meoo225 | AlphaNeural AI
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meoo225
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BartPho_base
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
vinai/bartpho-word-base
finetune
mit
endpoints_compatible
us
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BartPho_base
This model is a fine-tuned version of
vinai/bartpho-word-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.3964
Bleu Score: 0.0
Precision: 0.0
Recall: 0.0
Gen Len: 13.957
Err: 0.0
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu Score
Precision
Recall
Gen Len
Err
5.1513
1.0
838
4.6875
0.0
0.0
0.0
14.4624
0.0
4.2845
2.0
1676
4.4790
0.224
0.0
0.0
13.7551
0.0
3.7487
3.0
2514
4.3964
0.0
0.0
0.0
13.957
0.0
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
