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bart-base_ep_2_bz_32_dt_vnx_dev_hydra_1751819165_ – AI Model by tihonn | AlphaNeural AI
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tihonn
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bart-base_ep_2_bz_32_dt_vnx_dev_hydra_1751819165_
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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bart-base_ep_2_bz_32_dt_vnx_dev_hydra_1751819165_
This model is a fine-tuned version of
facebook/bart-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.8717
Rouge1: 40.1343
Rouge2: 12.4163
Rougel: 25.7421
Rougelsum: 27.5582
Gen Len: 20.3241
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: 32
eval_batch_size: 32
seed: 42
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
83
5.9402
38.6233
11.9291
24.8259
26.5956
19.8302
No log
2.0
166
5.8717
40.1343
12.4163
25.7421
27.5582
20.3241
Framework versions
Transformers 4.53.1
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.2
