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dalio-6.7b-test – AI Model by AlekseyKorshuk | AlphaNeural AI
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dalio-6.7b-test
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transformers
pytorch
opt
text-generation
generated_from_trainer
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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dalio-6.7b-test
This model is a fine-tuned version of
facebook/opt-6.7b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.6641
Accuracy: 0.0662
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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.5958
0.31
16
2.5371
0.0659
2.3784
0.62
32
2.5039
0.0670
2.3578
0.92
48
2.6074
0.0654
1.3819
1.23
64
2.6680
0.0658
1.1529
1.54
80
2.6738
0.0665
1.2938
1.85
96
2.6641
0.0662
Framework versions
Transformers 4.25.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.3.2
Tokenizers 0.12.1
