roberta-context-dependency – AI Model by Sharman16 | AlphaNeural AI

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Sharman16/
roberta-context-dependency

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text-classification

generated_from_trainer

FacebookAI/roberta-base

text-embeddings-inference

endpoints_compatible

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roberta-context-dependency

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

Loss: 0.8300
Accuracy: 0.6152
Macro F1: 0.5581
Weighted F1: 0.6028
Micro F1: 0.6152

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: 16
eval_batch_size: 32
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1	Weighted F1	Micro F1
0.9588	1.0	296	0.9300	0.5752	0.3679	0.4925	0.5752
0.8767	2.0	592	0.8810	0.6038	0.5153	0.5800	0.6038
0.8247	3.0	888	0.8173	0.6038	0.5250	0.5851	0.6038
0.7298	4.0	1184	0.8300	0.6152	0.5581	0.6028	0.6152

Framework versions

Transformers 5.15.1
Pytorch 2.11.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2