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distilbert_add_GLUE_Experiment_logit_kd_pretrain_rte – AI Model by gokuls | AlphaNeural AI
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distilbert_add_GLUE_Experiment_logit_kd_pretrain_rte
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
en
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert_add_GLUE_Experiment_logit_kd_pretrain_rte
This model is a fine-tuned version of
gokuls/distilbert_add_pre-training-complete
on the GLUE RTE dataset. It achieves the following results on the evaluation set:
Loss: 0.4234
Accuracy: 0.4729
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: 256
eval_batch_size: 256
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4287
1.0
10
0.4234
0.4729
0.417
2.0
20
0.4299
0.4729
0.416
3.0
30
0.4256
0.4729
0.4155
4.0
40
0.4249
0.4765
0.4121
5.0
50
0.4279
0.4801
0.4089
6.0
60
0.4273
0.4765
Framework versions
Transformers 4.26.0
Pytorch 1.14.0a0+410ce96
Datasets 2.9.0
Tokenizers 0.13.2
