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bloom-560m-finetuned-liability – AI Model by shiva-shiva-shiva | AlphaNeural AI
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bloom-560m-finetuned-liability
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transformers
pytorch
tensorboard
bloom
text-generation
generated_from_trainer
bigscience-bloom-rail-1.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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bloom-560m-finetuned-liability
This model is a fine-tuned version of
bigscience/bloom-560m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1486
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.5359
1.0
524
0.2425
0.1736
2.0
1048
0.1741
0.1045
3.0
1572
0.1550
0.0745
4.0
2096
0.1486
0.0549
5.0
2620
0.1486
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
