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M6_MLM_cross – AI Model by S2312dal | AlphaNeural AI
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S2312dal
/
M6_MLM_cross
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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M6_MLM_cross
This model is a fine-tuned version of
S2312dal/M6_MLM
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0197
Pearson: 0.9680
Spearmanr: 0.9098
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: 25
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 8.0
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Pearson
Spearmanr
0.0723
1.0
131
0.0646
0.8674
0.8449
0.0433
2.0
262
0.0322
0.9475
0.9020
0.0015
3.0
393
0.0197
0.9680
0.9098
Framework versions
Transformers 4.20.0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
