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LLM_Teached_BART_CNNDM – AI Model by vickt | AlphaNeural AI
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LLM_Teached_BART_CNNDM
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large-cnn
finetune
mit
endpoints_compatible
us
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LLM_Teached_BART_CNNDM
This model is a fine-tuned version of
facebook/bart-large-cnn
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6578
Rouge1: 0.4481
Rouge2: 0.1889
Rougel: 0.319
Rougelsum: 0.3189
Gen Len: 80.76
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
1.705
1.0
625
1.6702
0.4428
0.1879
0.3156
0.3154
82.54
1.4845
2.0
1250
1.6578
0.4481
0.1889
0.319
0.3189
80.76
Framework versions
Transformers 4.36.0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.15.0
