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Bloom-1b7-dialogsum – AI Model by alonzogarbanzo | AlphaNeural AI
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Bloom-1b7-dialogsum
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transformers
safetensors
bloom
text-generation
generated_from_trainer
bigscience/bloom-1b7
finetune
bigscience-bloom-rail-1.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Bloom-1b7-dialogsum
This model is a fine-tuned version of
bigscience/bloom-1b7
on an unknown dataset.
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Final epoch results: {'loss': 0.024, 'learning_rate': 1.4000000000000001e-06, 'epoch': 5.0}
After finished: {'train_runtime': 582.2106, 'train_samples_per_second': 1.718, 'train_steps_per_second': 0.429, 'train_loss': 0.72078223118186, 'epoch': 5.0}
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2
