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roberta-base-ner-lorafinetune-runs-64-128 – AI Model by pnr-svc | AlphaNeural AI | AlphaNeural AI
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roberta-base-ner-lorafinetune-runs-64-128
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peft
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generated_from_trainer
FacebookAI/roberta-base
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roberta-base-ner-lorafinetune-runs-64-128
This model is a fine-tuned version of
FacebookAI/roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1133
Precision: 0.9493
Recall: 0.9705
F1: 0.9597
Accuracy: 0.9846
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: 0.0004
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1133
1.0
2643
0.1480
0.9435
0.9532
0.9483
0.9755
0.1074
2.0
5286
0.1264
0.9468
0.9646
0.9556
0.9816
0.0719
3.0
7929
0.1133
0.9493
0.9705
0.9597
0.9846
Framework versions
PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.4.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
