roberta-Validation-badareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current – AI Model by youralien | AlphaNeural AI

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roberta-Validation-badareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current

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text-classification

generated_from_trainer

FacebookAI/roberta-large

autotrain_compatible

endpoints_compatible

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roberta-Validation-badareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current

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

Loss: 0.1276
Accuracy: 0.9435
Precision: 0.0
Recall: 0.0
F1: 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: 7.297796975425318e-05
train_batch_size: 16
eval_batch_size: 16
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3889	1.0	126	0.1070	0.9435	0.0	0.0	0.0
0.3832	2.0	252	0.1594	0.9435	0.0	0.0	0.0
0.3767	3.0	378	0.1043	0.9435	0.0	0.0	0.0
0.3708	4.0	504	0.1306	0.9435	0.0	0.0	0.0
0.3657	5.0	630	0.1226	0.9435	0.0	0.0	0.0
0.3742	6.0	756	0.1147	0.9435	0.0	0.0	0.0
0.3699	7.0	882	0.1543	0.9435	0.0	0.0	0.0
0.3668	8.0	1008	0.1373	0.9435	0.0	0.0	0.0
0.3689	9.0	1134	0.1273	0.9435	0.0	0.0	0.0
0.3687	10.0	1260	0.1276	0.9435	0.0	0.0	0.0

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 2.21.0
Tokenizers 0.21.0