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expert-freelaw – AI Model by Multi-Domain-Expert-Learning | AlphaNeural AI
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Multi-Domain-Expert-Learning
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expert-freelaw
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transformers
pytorch
gpt_neox
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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expert-freelaw
This model is a fine-tuned version of
EleutherAI/pythia-1b-deduped
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0413
Accuracy: 0.5643
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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.0772
0.01
200
2.0728
0.5588
2.0718
0.01
400
2.0656
0.5600
2.0661
0.02
600
2.0561
0.5617
2.0606
0.03
800
2.0472
0.5632
2.0514
0.04
1000
2.0413
0.5643
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.13.3
