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odsc-sawyer-sft – AI Model by profoz | AlphaNeural AI
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odsc-sawyer-sft
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generated_from_trainer
bigscience/bloom-560m
finetune
bigscience-bloom-rail-1.0
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odsc-sawyer-sft
This model is a fine-tuned version of
bigscience/bloom-560m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5514
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: 0.0003
train_batch_size: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.5443
1.0
2770
1.5514
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
