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M1_MLM_cross – AI Model by S2312dal | AlphaNeural AI
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S2312dal
/
M1_MLM_cross
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transformers
pytorch
tensorboard
albert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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M1_MLM_cross
This model is a fine-tuned version of
S2312dal/M1_MLM
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0106
Pearson: 0.9723
Spearmanr: 0.9112
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
0.0094
1.0
131
0.0342
0.9209
0.8739
0.0091
2.0
262
0.0157
0.9585
0.9040
0.0018
3.0
393
0.0106
0.9723
0.9112
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
