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roberta-large-negcommonsensebalanced-1e-06-64-stsb-lr2e-05-bs32 – AI Model by mhr2004 | AlphaNeural AI
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mhr2004
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roberta-large-negcommonsensebalanced-1e-06-64-stsb-lr2e-05-bs32
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transformers
safetensors
roberta
text-classification
generated_from_trainer
mhr2004/roberta-large-negcommonsensebalanced-1e-06-64
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-large-negcommonsensebalanced-1e-06-64-stsb-lr2e-05-bs32
This model is a fine-tuned version of
mhr2004/roberta-large-negcommonsensebalanced-1e-06-64
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0153
Pearson: 0.9150
Spearman: 0.9133
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Pearson
Spearman
0.0393
1.0
180
0.0194
0.9006
0.8971
0.0301
2.0
360
0.0174
0.9106
0.9085
0.0214
3.0
540
0.0163
0.9129
0.9114
0.0188
4.0
720
0.0153
0.9150
0.9133
Framework versions
Transformers 4.49.0
Pytorch 2.7.0+cu126
Datasets 3.5.1
Tokenizers 0.21.1
