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roberta-base-ner-qlorafinetune-runs-256-512
pnr-svc/roberta-base-ner-qlorafinetune-runs-256-512
roberta-base-ner-qlorafinetune-runs-256-512 is a machine learning model from pnr-svc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Oct 5, 2024
- Updated
- Oct 5, 2024
- SHA
- 05104a14
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
roberta-base-ner-qlorafinetune-runs-256-512
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: 2.1891
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.6192
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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.867 | 1.0 | 2643 | 1.9874 | 0.0 | 0.0 | 0.0 | 0.6192 |
| 1.8647 | 2.0 | 5286 | 2.0868 | 0.0 | 0.0 | 0.0 | 0.6192 |
| 1.8641 | 3.0 | 7929 | 2.1891 | 0.0 | 0.0 | 0.0 | 0.6192 |
Framework versions
- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.4.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Oct 5, 2024
- Updated
- Oct 5, 2024