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amr-model – AI Model by hopkins | AlphaNeural AI
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hopkins
/
amr-model
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
generator
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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amr-model
This model is a fine-tuned version of
gpt2
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.2289
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: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.07
2
10.9308
2.2499
17.24
500
1.2289
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2
