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svo-ss10k – AI Model by hopkins | AlphaNeural AI | AlphaNeural AI
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svo-ss10k
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
generator
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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svo-ss10k
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
Loss: 5.9286
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: 0.0005
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 18
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
10.3545
3.83
50
8.2279
7.7367
7.68
100
6.7753
6.457
11.53
150
6.2465
5.8091
15.38
200
5.9286
Framework versions
Transformers 4.26.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
