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qa_model

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distilbert
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  1. README.md +53 -6
  2. model.safetensors +1 -1
  3. runs/Apr15_23-03-29_asrlytics-server/events.out.tfevents.1713202414.asrlytics-server.37603.0 +2 -2
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3369
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  ## Model description
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@@ -34,21 +34,68 @@ More information needed
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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: 16
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  - eval_batch_size: 16
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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: 3
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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 | 55 | 0.4043 |
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- | No log | 2.0 | 110 | 0.3573 |
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- | No log | 3.0 | 165 | 0.3369 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0855
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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 | 14 | 2.9202 |
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+ | No log | 2.0 | 28 | 1.2757 |
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+ | No log | 3.0 | 42 | 0.7847 |
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+ | No log | 4.0 | 56 | 0.5954 |
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+ | No log | 5.0 | 70 | 0.4667 |
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+ | No log | 6.0 | 84 | 0.3264 |
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+ | No log | 7.0 | 98 | 0.2878 |
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+ | No log | 8.0 | 112 | 0.2299 |
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+ | No log | 9.0 | 126 | 0.2095 |
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+ | No log | 10.0 | 140 | 0.1842 |
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+ | No log | 11.0 | 154 | 0.1744 |
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+ | No log | 12.0 | 168 | 0.1767 |
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+ | No log | 13.0 | 182 | 0.1603 |
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+ | No log | 14.0 | 196 | 0.1516 |
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+ | No log | 15.0 | 210 | 0.1414 |
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+ | No log | 16.0 | 224 | 0.1398 |
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+ | No log | 17.0 | 238 | 0.1424 |
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+ | No log | 18.0 | 252 | 0.1382 |
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+ | No log | 19.0 | 266 | 0.1356 |
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+ | No log | 20.0 | 280 | 0.1289 |
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+ | No log | 21.0 | 294 | 0.1233 |
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+ | No log | 22.0 | 308 | 0.1261 |
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+ | No log | 23.0 | 322 | 0.1131 |
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+ | No log | 24.0 | 336 | 0.1093 |
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+ | No log | 25.0 | 350 | 0.1116 |
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+ | No log | 26.0 | 364 | 0.1029 |
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+ | No log | 27.0 | 378 | 0.1060 |
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+ | No log | 28.0 | 392 | 0.1041 |
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+ | No log | 29.0 | 406 | 0.0999 |
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+ | No log | 30.0 | 420 | 0.0979 |
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+ | No log | 31.0 | 434 | 0.0961 |
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+ | No log | 32.0 | 448 | 0.0957 |
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+ | No log | 33.0 | 462 | 0.0925 |
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+ | No log | 34.0 | 476 | 0.1074 |
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+ | No log | 35.0 | 490 | 0.0940 |
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+ | 0.4192 | 36.0 | 504 | 0.0935 |
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+ | 0.4192 | 37.0 | 518 | 0.0908 |
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+ | 0.4192 | 38.0 | 532 | 0.0896 |
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+ | 0.4192 | 39.0 | 546 | 0.0877 |
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+ | 0.4192 | 40.0 | 560 | 0.0881 |
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+ | 0.4192 | 41.0 | 574 | 0.0888 |
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+ | 0.4192 | 42.0 | 588 | 0.0900 |
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+ | 0.4192 | 43.0 | 602 | 0.0880 |
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+ | 0.4192 | 44.0 | 616 | 0.0875 |
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+ | 0.4192 | 45.0 | 630 | 0.0872 |
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+ | 0.4192 | 46.0 | 644 | 0.0867 |
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+ | 0.4192 | 47.0 | 658 | 0.0863 |
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+ | 0.4192 | 48.0 | 672 | 0.0855 |
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+ | 0.4192 | 49.0 | 686 | 0.0856 |
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+ | 0.4192 | 50.0 | 700 | 0.0855 |
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  ### Framework versions
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