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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: distilbert-base-uncased |
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model-index: |
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- name: OpenDispatcher_v2_gpt35turbo_and_gpt4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# OpenDispatcher_v2_gpt35turbo_and_gpt4 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5490 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 3000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6348 | 0.07 | 100 | 0.5852 | |
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| 0.5826 | 0.14 | 200 | 0.5731 | |
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| 0.5683 | 0.21 | 300 | 0.5681 | |
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| 0.5606 | 0.28 | 400 | 0.5640 | |
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| 0.5557 | 0.35 | 500 | 0.5705 | |
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| 0.5637 | 0.41 | 600 | 0.5647 | |
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| 0.5655 | 0.48 | 700 | 0.5569 | |
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| 0.5565 | 0.55 | 800 | 0.5747 | |
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| 0.5656 | 0.62 | 900 | 0.5570 | |
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| 0.5545 | 0.69 | 1000 | 0.5573 | |
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| 0.5474 | 0.76 | 1100 | 0.5595 | |
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| 0.5566 | 0.83 | 1200 | 0.5539 | |
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| 0.5738 | 0.9 | 1300 | 0.5499 | |
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| 0.5727 | 0.97 | 1400 | 0.5499 | |
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| 0.5463 | 1.04 | 1500 | 0.5683 | |
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| 0.5396 | 1.1 | 1600 | 0.5529 | |
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| 0.5529 | 1.17 | 1700 | 0.5603 | |
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| 0.5444 | 1.24 | 1800 | 0.5540 | |
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| 0.5388 | 1.31 | 1900 | 0.5652 | |
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| 0.5347 | 1.38 | 2000 | 0.5563 | |
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| 0.5303 | 1.45 | 2100 | 0.5542 | |
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| 0.5419 | 1.52 | 2200 | 0.5480 | |
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| 0.5344 | 1.59 | 2300 | 0.5512 | |
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| 0.5316 | 1.66 | 2400 | 0.5548 | |
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| 0.5487 | 1.73 | 2500 | 0.5500 | |
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| 0.5388 | 1.8 | 2600 | 0.5472 | |
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| 0.5423 | 1.86 | 2700 | 0.5469 | |
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| 0.5067 | 1.93 | 2800 | 0.5521 | |
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| 0.5236 | 2.0 | 2900 | 0.5482 | |
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| 0.5126 | 2.07 | 3000 | 0.5490 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Tokenizers 0.15.2 |
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