PsyDefDetect_roberta-base_unmerged_lr-5 – AI Model by C-L-V | AlphaNeural AI

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C-L-V/
PsyDefDetect_roberta-base_unmerged_lr-5

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text-classification

generated_from_trainer

FacebookAI/roberta-base

text-embeddings-inference

endpoints_compatible

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PsyDefDetect_roberta-base_unmerged_lr-5

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8870
Accuracy: 0.4397
Macro F1: 0.2150
Weighted F1: 0.4505
Macro Precision: 0.2108
Macro Recall: 0.2508

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1	Weighted F1	Macro Precision	Macro Recall
2.1851	1.0	187	2.1161	0.4584	0.1467	0.4180	0.1494	0.1579
2.0352	2.0	374	2.0167	0.4155	0.1544	0.3963	0.1408	0.1849
1.8400	3.0	561	1.8868	0.4370	0.2143	0.4482	0.2104	0.2503
1.6637	4.0	748	1.9310	0.4638	0.2119	0.4706	0.2152	0.2271

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2