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opt-125m-finetuned-cfdna
KUKUDAS95/opt-125m-finetuned-cfdna
opt-125m-finetuned-cfdna is a text classification model from KUKUDAS95. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- opt
- Access
- Public
- Created
- Feb 10, 2025
- Updated
- Feb 10, 2025
- SHA
- eb432e46
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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. -->
opt-125m-finetuned-cfdna
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6873
- Accuracy: 0.555
- F1: 0.3962
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0.992 | 62 | 0.6879 | 0.555 | 0.3962 |
| No log | 1.984 | 124 | 0.6873 | 0.555 | 0.3962 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.20.1
- Task
- Text Classification
- Library
- transformers
- Type
- opt
- Created
- Feb 10, 2025
- Updated
- Feb 10, 2025