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important_phrase_finder
NemesisX00/important_phrase_finder
important_phrase_finder is a machine learning model from NemesisX00. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 18, 2024
- Updated
- Aug 24, 2024
- SHA
- d5acd977
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. -->
important_phrase_finder
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8366
- Precision: 0.3250
- Recall: 0.0904
- F1: 0.1414
- Accuracy: 0.6376
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.2647 | 100 | 0.8560 | 0.3347 | 0.0505 | 0.0878 | 0.6316 |
| No log | 0.5294 | 200 | 0.8479 | 0.3202 | 0.0663 | 0.1098 | 0.6341 |
| No log | 0.7941 | 300 | 0.8423 | 0.3127 | 0.0778 | 0.1246 | 0.6355 |
| No log | 1.0588 | 400 | 0.8409 | 0.3303 | 0.0811 | 0.1303 | 0.6368 |
| 0.8194 | 1.3235 | 500 | 0.8388 | 0.3257 | 0.0831 | 0.1325 | 0.6373 |
| 0.8194 | 1.5881 | 600 | 0.8371 | 0.3203 | 0.0868 | 0.1366 | 0.6373 |
| 0.8194 | 1.8528 | 700 | 0.8366 | 0.3250 | 0.0904 | 0.1414 | 0.6376 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 18, 2024
- Updated
- Aug 24, 2024