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data2vec-text-base-finetuned-rte – AI Model by mrm8488 | AlphaNeural AI
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mrm8488
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data2vec-text-base-finetuned-rte
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transformers
pytorch
tensorboard
data2vec-text
text-classification
generated_from_trainer
glue
mit
model-index
autotrain_compatible
endpoints_compatible
us
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data2vec-text-base-finetuned-rte
This model is a fine-tuned version of
facebook/data2vec-text-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.6670
Accuracy: 0.6209
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: 16
eval_batch_size: 16
seed: 42
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
No log
1.0
156
0.7091
0.4729
No log
2.0
312
0.6893
0.5271
No log
3.0
468
0.6670
0.6209
0.6919
4.0
624
0.6740
0.5921
0.6919
5.0
780
0.6644
0.6101
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
