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roberta_finetune_CPS_gpt4_v1
aminsamadi/roberta_finetune_CPS_gpt4_v1
roberta_finetune_CPS_gpt4_v1 is a machine learning model from aminsamadi. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 30, 2024
- Updated
- Aug 30, 2024
- SHA
- 8925ee99
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_finetune_CPS_gpt4_v1
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9812
- Accuracy: 0.7240
- F1-micro: 0.7240
- F1-macro: 0.6314
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-micro | F1-macro |
|---|---|---|---|---|---|---|
| 0.8297 | 1.0 | 777 | 0.9411 | 0.6812 | 0.6812 | 0.5509 |
| 0.7182 | 2.0 | 1554 | 0.8896 | 0.7199 | 0.7199 | 0.5770 |
| 0.3985 | 3.0 | 2331 | 0.8948 | 0.7260 | 0.7260 | 0.6369 |
| 0.4776 | 4.0 | 3108 | 1.1500 | 0.7084 | 0.7084 | 0.6066 |
| 0.3083 | 5.0 | 3885 | 1.3337 | 0.7152 | 0.7152 | 0.6071 |
| 0.5448 | 6.0 | 4662 | 1.6259 | 0.7220 | 0.7220 | 0.6008 |
| 0.3451 | 7.0 | 5439 | 1.7975 | 0.7199 | 0.7199 | 0.6168 |
| 0.3331 | 8.0 | 6216 | 1.8839 | 0.7267 | 0.7267 | 0.6439 |
| 0.0878 | 9.0 | 6993 | 1.9226 | 0.7281 | 0.7281 | 0.6346 |
| 0.0035 | 10.0 | 7770 | 1.9812 | 0.7240 | 0.7240 | 0.6314 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- roberta
- License
- mit
- Created
- Aug 30, 2024
- Updated
- Aug 30, 2024