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Bloom-1b7-ropes-Cont-IT-Step2 – AI Model by alonzogarbanzo | AlphaNeural AI
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Bloom-1b7-ropes-Cont-IT-Step2
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transformers
safetensors
bloom
text-generation
generated_from_trainer
alonzogarbanzo/Bloom-1b7-winograd-wsc-IT-baseline
finetune
bigscience-bloom-rail-1.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Bloom-1b7-ropes-Cont-IT-Step2
This model is a fine-tuned version of
alonzogarbanzo/Bloom-1b7-winograd-wsc-IT-baseline
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: 10
mixed_precision_training: Native AMP
Training results
Final Results: {'loss': 0.0261, 'grad_norm': 1.9494764804840088, 'learning_rate': 3.0000000000000004e-07, 'epoch': 10.0}
Average Results: {'train_runtime': 858.2936, 'train_samples_per_second': 2.33, 'train_steps_per_second': 0.583, 'train_loss': 0.4610937827527523, 'epoch': 10.0}
Framework versions
Transformers 4.38.1
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2
