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New_RoBERTa_EmpAI_final – AI Model by LuangMV97 | AlphaNeural AI
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LuangMV97
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New_RoBERTa_EmpAI_final
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transformers
tensorboard
safetensors
roberta
fill-mask
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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New_RoBERTa_EmpAI_final
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1233
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
Training results
Training Loss
Epoch
Step
Validation Loss
1.4436
1.0
749
1.1949
1.2945
2.0
1499
1.0986
1.2108
3.0
2249
1.0954
1.1807
4.0
2999
1.1169
1.1435
4.99
3745
1.1233
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
