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OpenDispatcher_v2_gpt35turbo_and_gpt4
gaodrew/OpenDispatcher_v2_gpt35turbo_and_gpt4
OpenDispatcher_v2_gpt35turbo_and_gpt4 is a text classification model from gaodrew. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 28, 2024
- Updated
- Mar 28, 2024
- SHA
- c900689d
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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. -->
OpenDispatcher_v2_gpt35turbo_and_gpt4
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5490
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
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6348 | 0.07 | 100 | 0.5852 |
| 0.5826 | 0.14 | 200 | 0.5731 |
| 0.5683 | 0.21 | 300 | 0.5681 |
| 0.5606 | 0.28 | 400 | 0.5640 |
| 0.5557 | 0.35 | 500 | 0.5705 |
| 0.5637 | 0.41 | 600 | 0.5647 |
| 0.5655 | 0.48 | 700 | 0.5569 |
| 0.5565 | 0.55 | 800 | 0.5747 |
| 0.5656 | 0.62 | 900 | 0.5570 |
| 0.5545 | 0.69 | 1000 | 0.5573 |
| 0.5474 | 0.76 | 1100 | 0.5595 |
| 0.5566 | 0.83 | 1200 | 0.5539 |
| 0.5738 | 0.9 | 1300 | 0.5499 |
| 0.5727 | 0.97 | 1400 | 0.5499 |
| 0.5463 | 1.04 | 1500 | 0.5683 |
| 0.5396 | 1.1 | 1600 | 0.5529 |
| 0.5529 | 1.17 | 1700 | 0.5603 |
| 0.5444 | 1.24 | 1800 | 0.5540 |
| 0.5388 | 1.31 | 1900 | 0.5652 |
| 0.5347 | 1.38 | 2000 | 0.5563 |
| 0.5303 | 1.45 | 2100 | 0.5542 |
| 0.5419 | 1.52 | 2200 | 0.5480 |
| 0.5344 | 1.59 | 2300 | 0.5512 |
| 0.5316 | 1.66 | 2400 | 0.5548 |
| 0.5487 | 1.73 | 2500 | 0.5500 |
| 0.5388 | 1.8 | 2600 | 0.5472 |
| 0.5423 | 1.86 | 2700 | 0.5469 |
| 0.5067 | 1.93 | 2800 | 0.5521 |
| 0.5236 | 2.0 | 2900 | 0.5482 |
| 0.5126 | 2.07 | 3000 | 0.5490 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 28, 2024
- Updated
- Mar 28, 2024