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bigscience-bloom-560m-brief-history-of-time-model – AI Model by shubhamgantayat | AlphaNeural AI
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bigscience-bloom-560m-brief-history-of-time-model
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transformers
pytorch
bloom
text-generation
generated_from_trainer
bigscience/bloom-560m
finetune
bigscience-bloom-rail-1.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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bigscience-bloom-560m-brief-history-of-time-model
This model is a fine-tuned version of
bigscience/bloom-560m
on the None 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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 100
Training results
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
