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robbert-L-dbrd-imdb-insurance – AI Model by sytnaxerror | AlphaNeural AI
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sytnaxerror
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robbert-L-dbrd-imdb-insurance
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
sytnaxerror/robbert-large-with-dbrd-plus-imdb-mac
finetune
text-embeddings-inference
endpoints_compatible
us
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robbert-L-dbrd-imdb-insurance
This model is a fine-tuned version of
sytnaxerror/robbert-large-with-dbrd-plus-imdb-mac
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9573
Accuracy: 0.7838
F1: 0.7785
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: 128
eval_batch_size: 256
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.06
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
20
0.9799
0.7711
0.7599
No log
2.0
40
0.9582
0.7838
0.7785
3.8634
3.0
60
0.9573
0.7838
0.7785
Framework versions
Transformers 5.5.4
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
