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bart-large-fleece2instructions-r1 – AI Model by AleBurzio | AlphaNeural AI
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AleBurzio
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bart-large-fleece2instructions-r1
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transformers
pytorch
safetensors
bart
text2text-generation
generated_from_trainer
pszemraj/fleece2instructions
apache-2.0
endpoints_compatible
us
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bart-large-fleece2instructions-r1
This model is a fine-tuned version of
facebook/bart-large
on the
pszemraj/fleece2instructions
dataset. It achieves the following results on the evaluation set:
Loss: 1.0436
Rouge1: 64.4538
Rouge2: 47.8829
Rougel: 62.5085
Rougelsum: 62.6165
Gen Len: 14.4780
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: 6e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.0379
1.0
362
1.0932
62.4953
46.0277
60.6748
60.7667
14.5614
0.925
2.0
724
1.0436
64.4538
47.8829
62.5085
62.6165
14.4780
Framework versions
Transformers 4.25.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.0
Tokenizers 0.13.2