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MentalRoBERTa_EmpAI_final – AI Model by LuangMV97 | AlphaNeural AI
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MentalRoBERTa_EmpAI_final
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transformers
tensorboard
safetensors
roberta
fill-mask
generated_from_trainer
mental/mental-roberta-base
finetune
cc-by-nc-4.0
autotrain_compatible
endpoints_compatible
us
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MentalRoBERTa_EmpAI_final
This model is a fine-tuned version of
mental/mental-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0667
eval_runtime: 79.8562
eval_samples_per_second: 150.295
eval_steps_per_second: 9.404
epoch: 0.91
step: 681
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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2