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roberta-base_immifilms – AI Model by wenbrau | AlphaNeural AI
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wenbrau
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roberta-base_immifilms
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base_immifilms
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4367
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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.648
1.0
579
0.5886
0.4947
2.0
1158
0.4537
0.345
3.0
1737
0.4367
Framework versions
Transformers 4.36.1
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
