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remote_sensing_gpt_expt – AI Model by gremlin97 | AlphaNeural AI
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remote_sensing_gpt_expt
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peft
tensorboard
safetensors
generated_from_trainer
bigscience/bloom-1b1
adapter
bigscience-bloom-rail-1.0
us
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remote_sensing_gpt_expt
This model is a fine-tuned version of
bigscience/bloom-1b1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.0859
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
5.568
1.0
829
5.1888
5.0135
2.0
1658
5.1070
4.9725
3.0
2487
5.0859
Framework versions
PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
