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gpt2-sst2-sentiment-classifier-lora
asm3515/gpt2-sst2-sentiment-classifier-lora
gpt2-sst2-sentiment-classifier-lora is a machine learning model from asm3515. 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
- Sep 24, 2024
- Updated
- Sep 24, 2024
- SHA
- dcaeca06
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. -->
gpt2-sst2-sentiment-classifier-lora
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2664
- Accuracy: 0.9048
- F1: 0.9075
- Precision: 0.8985
- Recall: 0.9167
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3415 | 1.0 | 4210 | 0.2571 | 0.9048 | 0.9058 | 0.9130 | 0.8986 |
| 0.2495 | 2.0 | 8420 | 0.2831 | 0.9025 | 0.9073 | 0.8795 | 0.9369 |
| 0.2442 | 3.0 | 12630 | 0.2664 | 0.9048 | 0.9075 | 0.8985 | 0.9167 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Sep 24, 2024
- Updated
- Sep 24, 2024