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bloomz_finetuned_tpicap_model – AI Model by rajparmar | AlphaNeural AI
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rajparmar
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bloomz_finetuned_tpicap_model
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tensorboard
safetensors
generated_from_trainer
bigscience/bloomz-560m
finetune
bigscience-bloom-rail-1.0
us
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bloomz_finetuned_tpicap_model
This model is a fine-tuned version of
bigscience/bloomz-560m
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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 40
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.0
Pytorch 2.0.0+cu117
Datasets 2.13.0
Tokenizers 0.14.1
