Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
gpt2-xl-summarization_reward_model – AI Model by Tristan | AlphaNeural AI
You can deploy this model and start earning money today!
Tristan
/
gpt2-xl-summarization_reward_model
like
0
pytorch
generated_from_trainer
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
gpt2-xl-summarization_reward_model
This model is a fine-tuned version of
gpt2-xl
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2875
Accuracy: 0.6157
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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 16
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5856
1.0
1451
0.6854
0.6218
0.4314
2.0
2902
0.8053
0.6133
0.3166
3.0
4353
0.8060
0.6146
0.2625
4.0
5804
0.9857
0.6162
0.2279
5.0
7255
1.2875
0.6157
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2
