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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: rh_qa_model |
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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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# rh_qa_model |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.9421 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 9 | 5.7606 | |
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| No log | 2.0 | 18 | 5.2134 | |
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| No log | 3.0 | 27 | 4.6264 | |
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| No log | 4.0 | 36 | 4.6808 | |
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| No log | 5.0 | 45 | 4.6072 | |
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| No log | 6.0 | 54 | 4.0322 | |
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| No log | 7.0 | 63 | 4.5964 | |
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| No log | 8.0 | 72 | 3.3412 | |
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| No log | 9.0 | 81 | 3.3570 | |
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| No log | 10.0 | 90 | 3.6391 | |
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| No log | 11.0 | 99 | 3.4018 | |
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| No log | 12.0 | 108 | 3.4077 | |
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| No log | 13.0 | 117 | 3.6908 | |
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| No log | 14.0 | 126 | 4.0146 | |
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| No log | 15.0 | 135 | 3.8527 | |
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| No log | 16.0 | 144 | 3.9721 | |
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| No log | 17.0 | 153 | 3.9417 | |
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| No log | 18.0 | 162 | 3.8664 | |
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| No log | 19.0 | 171 | 3.9009 | |
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| No log | 20.0 | 180 | 3.9753 | |
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| No log | 21.0 | 189 | 4.0617 | |
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| No log | 22.0 | 198 | 4.1928 | |
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| No log | 23.0 | 207 | 4.2910 | |
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| No log | 24.0 | 216 | 4.2968 | |
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| No log | 25.0 | 225 | 4.5358 | |
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| No log | 26.0 | 234 | 4.3997 | |
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| No log | 27.0 | 243 | 4.3952 | |
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| No log | 28.0 | 252 | 4.5261 | |
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| No log | 29.0 | 261 | 4.4806 | |
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| No log | 30.0 | 270 | 4.5944 | |
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| No log | 31.0 | 279 | 4.2314 | |
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| No log | 32.0 | 288 | 4.5624 | |
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| No log | 33.0 | 297 | 4.6074 | |
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| No log | 34.0 | 306 | 4.2452 | |
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| No log | 35.0 | 315 | 4.6662 | |
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| No log | 36.0 | 324 | 4.2687 | |
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| No log | 37.0 | 333 | 4.7763 | |
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| No log | 38.0 | 342 | 4.7474 | |
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| No log | 39.0 | 351 | 4.7573 | |
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| No log | 40.0 | 360 | 4.7578 | |
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| No log | 41.0 | 369 | 4.9119 | |
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| No log | 42.0 | 378 | 4.9752 | |
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| No log | 43.0 | 387 | 4.9227 | |
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| No log | 44.0 | 396 | 4.8575 | |
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| No log | 45.0 | 405 | 4.8022 | |
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| No log | 46.0 | 414 | 4.9180 | |
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| No log | 47.0 | 423 | 4.9006 | |
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| No log | 48.0 | 432 | 4.9202 | |
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| No log | 49.0 | 441 | 4.9380 | |
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| No log | 50.0 | 450 | 4.9421 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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