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bloom560mtask2 – AI Model by MohammadKarami | AlphaNeural AI
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MohammadKarami
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bloom560mtask2
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transformers
tensorboard
safetensors
bloom
text-classification
generated_from_trainer
bigscience/bloom-560m
finetune
bigscience-bloom-rail-1.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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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: 1.3562
F1: 0.7886
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.9849
1.0
2500
0.8808
0.6951
0.4775
2.0
5000
0.8355
0.739
0.1347
3.0
7500
1.3562
0.7886
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
