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model_v3_v2 – AI Model by sehilnlf | AlphaNeural AI
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model_v3_v2
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large
finetune
apache-2.0
endpoints_compatible
us
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model_v3_v2
This model is a fine-tuned version of
facebook/bart-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5669
Sacrebleu: 66.8302
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Sacrebleu
No log
0.99
54
0.6545
66.3234
No log
1.99
109
0.5940
66.8342
No log
2.96
162
0.5669
66.8302
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
