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Model-text-generation – AI Model by tr-aravindan | AlphaNeural AI
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tr-aravindan
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Model-text-generation
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peft
safetensors
trl
sft
generated_from_trainer
bigscience/bloomz-560m
adapter
bigscience-bloom-rail-1.0
us
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Model-text-generation
This model is a fine-tuned version of
bigscience/bloomz-560m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.6440
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: 1.41e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.6532
1.0
984
3.6657
3.6527
2.0
1968
3.6518
3.6301
3.0
2953
3.6462
3.6279
4.0
3937
3.6442
3.6385
5.0
4920
3.6440
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0
