roberta-base-19th-century-sentiment-multi-label – AI Model by ambrosfitz | AlphaNeural AI

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ambrosfitz/
roberta-base-19th-century-sentiment-multi-label

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text-classification

generated_from_trainer

ambrosfitz/roberta-base-19th-century-v2

autotrain_compatible

endpoints_compatible

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roberta-base-19th-century-sentiment-multi-label

This model is a fine-tuned version of ambrosfitz/roberta-base-19th-century-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5874
F1: 0.2593
Roc Auc: 0.5468
Accuracy: 0.0

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: 8
eval_batch_size: 8
seed: 42
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: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
No log	1.0	7	0.6639	0.3761	0.5939	0.0
No log	2.0	14	0.6161	0.2593	0.5468	0.0
No log	3.0	21	0.5961	0.2593	0.5468	0.0
No log	4.0	28	0.5896	0.2593	0.5468	0.0
No log	5.0	35	0.5874	0.2593	0.5468	0.0

Framework versions

Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4