Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
RoBERTa_EmpTalk_Prueba – AI Model by LuangMV97 | AlphaNeural AI
You can deploy this model and start earning money today!
LuangMV97
/
RoBERTa_EmpTalk_Prueba
like
0
transformers
tensorboard
safetensors
roberta
text-generation
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
RoBERTa_EmpTalk_Prueba
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0005
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
483
0.0023
0.0085
2.0
967
0.0009
0.0023
3.0
1450
0.0007
0.0012
4.0
1934
0.0005
0.0009
4.99
2415
0.0005
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
