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ttqdunggg/
3adapter_ronbackbone_content_cls

Name: 3adapter_ronbackbone_content_cls
Availability: InStock

transformers

safetensors

roberta

generated_from_trainer

ttqdunggg/3adapter_ronbackbone_content

finetune

agpl-3.0

endpoints_compatible

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3adapter_ronbackbone_content_cls

This model is a fine-tuned version of ttqdunggg/3adapter_ronbackbone_content on the None dataset. It achieves the following results on the evaluation set:

Acc Classification: 0.8188
F1 Classification: 0.7797
Loss: 0.3191

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH 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	Acc Classification	F1 Classification	Validation Loss
No log	1.0	276	0.7791	0.7181	0.3917
0.515	2.0	552	0.8049	0.7558	0.3477
0.515	3.0	828	0.8154	0.7774	0.3181
0.2264	4.0	1104	0.8176	0.7848	0.3160
0.2264	5.0	1380	0.8188	0.7797	0.3191

Framework versions

Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.22.1

ttqdunggg/3adapter_ronbackbone_content_cls

3adapter_ronbackbone_content_cls

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ttqdunggg/
3adapter_ronbackbone_content_cls