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lora-finetuned-sentiment
sar79/lora-finetuned-sentiment
lora-finetuned-sentiment is a machine learning model from sar79. 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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.json2.9 MB · 48%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Sep 11, 2024
- Updated
- Sep 11, 2024
- SHA
- c939eba8
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. -->
lora-finetuned-sentiment
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8293
- Accuracy: 0.8322
- F1: 0.7560
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-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9149 | 1.0 | 76 | 0.8293 | 0.8322 | 0.7560 |
Framework versions
- PEFT 0.12.0
- Transformers 4.41.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Sep 11, 2024
- Updated
- Sep 11, 2024