Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
DNAPerceiver1_2epochs – AI Model by simecek | AlphaNeural AI
You can deploy this model and start earning money today!
simecek
/
DNAPerceiver1_2epochs
like
0
transformers
pytorch
tensorboard
perceiver
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
DNAPerceiver1_2epochs
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3330
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 36000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3597
0.3
6000
1.3565
1.3566
0.6
12000
1.3557
1.3514
0.89
18000
1.3474
1.345
1.19
24000
1.3410
1.3386
1.49
30000
1.3357
1.3348
1.79
36000
1.3330
Framework versions
Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
