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my_awesome_qa_model

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  1. README.md +52 -52
  2. model.safetensors +1 -1
  3. runs/Mar11_00-51-13_e633ef190b02/events.out.tfevents.1710118273.e633ef190b02.154.0 +3 -0
  4. tokenizer.json +2 -2
  5. training_args.bin +1 -1
README.md CHANGED
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_qa_model
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- This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 1.1211
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  ## Model description
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@@ -46,56 +46,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 5 | 5.0836 |
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- | No log | 2.0 | 10 | 4.1603 |
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- | No log | 3.0 | 15 | 3.0737 |
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- | No log | 4.0 | 20 | 1.9582 |
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- | No log | 5.0 | 25 | 1.0767 |
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- | No log | 6.0 | 30 | 0.6413 |
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- | No log | 7.0 | 35 | 0.5303 |
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- | No log | 8.0 | 40 | 0.4908 |
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- | No log | 9.0 | 45 | 0.5172 |
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- | No log | 10.0 | 50 | 0.5100 |
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- | No log | 11.0 | 55 | 0.5923 |
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- | No log | 12.0 | 60 | 0.5852 |
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- | No log | 13.0 | 65 | 0.6525 |
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- | No log | 14.0 | 70 | 0.7792 |
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- | No log | 15.0 | 75 | 0.7428 |
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- | No log | 16.0 | 80 | 0.7834 |
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- | No log | 17.0 | 85 | 0.8523 |
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- | No log | 18.0 | 90 | 0.8605 |
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- | No log | 19.0 | 95 | 0.8491 |
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- | No log | 20.0 | 100 | 0.9112 |
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- | No log | 21.0 | 105 | 0.9669 |
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- | No log | 22.0 | 110 | 0.9536 |
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- | No log | 23.0 | 115 | 0.9679 |
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- | No log | 24.0 | 120 | 0.9832 |
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- | No log | 25.0 | 125 | 0.9679 |
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- | No log | 26.0 | 130 | 1.0076 |
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- | No log | 27.0 | 135 | 1.0406 |
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- | No log | 28.0 | 140 | 1.0363 |
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- | No log | 29.0 | 145 | 1.0358 |
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- | No log | 30.0 | 150 | 1.0307 |
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- | No log | 31.0 | 155 | 1.0130 |
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- | No log | 32.0 | 160 | 0.9918 |
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- | No log | 33.0 | 165 | 1.0135 |
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- | No log | 34.0 | 170 | 1.0400 |
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- | No log | 35.0 | 175 | 1.0652 |
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- | No log | 36.0 | 180 | 1.0704 |
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- | No log | 37.0 | 185 | 1.0770 |
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- | No log | 38.0 | 190 | 1.0806 |
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- | No log | 39.0 | 195 | 1.0733 |
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- | No log | 40.0 | 200 | 1.0689 |
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- | No log | 41.0 | 205 | 1.1028 |
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- | No log | 42.0 | 210 | 1.1154 |
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- | No log | 43.0 | 215 | 1.1075 |
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- | No log | 44.0 | 220 | 1.1077 |
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- | No log | 45.0 | 225 | 1.1135 |
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- | No log | 46.0 | 230 | 1.1191 |
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- | No log | 47.0 | 235 | 1.1226 |
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- | No log | 48.0 | 240 | 1.1234 |
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- | No log | 49.0 | 245 | 1.1215 |
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- | No log | 50.0 | 250 | 1.1211 |
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  ### Framework versions
 
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  # my_awesome_qa_model
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+ This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 5.6390
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 9 | 5.6458 |
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+ | No log | 2.0 | 18 | 4.9655 |
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+ | No log | 3.0 | 27 | 4.3627 |
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+ | No log | 4.0 | 36 | 3.8802 |
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+ | No log | 5.0 | 45 | 3.5567 |
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+ | No log | 6.0 | 54 | 3.3786 |
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+ | No log | 7.0 | 63 | 3.3216 |
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+ | No log | 8.0 | 72 | 3.4136 |
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+ | No log | 9.0 | 81 | 3.5450 |
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+ | No log | 10.0 | 90 | 3.4798 |
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+ | No log | 11.0 | 99 | 3.6154 |
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+ | No log | 12.0 | 108 | 3.6299 |
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+ | No log | 13.0 | 117 | 3.6549 |
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+ | No log | 14.0 | 126 | 3.8676 |
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+ | No log | 15.0 | 135 | 4.0811 |
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+ | No log | 16.0 | 144 | 4.1623 |
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+ | No log | 17.0 | 153 | 4.2068 |
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+ | No log | 18.0 | 162 | 4.2396 |
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+ | No log | 19.0 | 171 | 4.3342 |
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+ | No log | 20.0 | 180 | 4.5391 |
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+ | No log | 21.0 | 189 | 4.3384 |
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+ | No log | 22.0 | 198 | 4.3860 |
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+ | No log | 23.0 | 207 | 4.4281 |
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+ | No log | 24.0 | 216 | 4.5060 |
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+ | No log | 25.0 | 225 | 4.4610 |
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+ | No log | 26.0 | 234 | 4.6068 |
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+ | No log | 27.0 | 243 | 4.5277 |
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+ | No log | 28.0 | 252 | 4.7546 |
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+ | No log | 29.0 | 261 | 4.9052 |
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+ | No log | 30.0 | 270 | 4.7864 |
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+ | No log | 31.0 | 279 | 5.0367 |
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+ | No log | 32.0 | 288 | 4.9598 |
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+ | No log | 33.0 | 297 | 5.0208 |
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+ | No log | 34.0 | 306 | 5.3727 |
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+ | No log | 35.0 | 315 | 5.1836 |
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+ | No log | 36.0 | 324 | 5.3275 |
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+ | No log | 37.0 | 333 | 5.3089 |
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+ | No log | 38.0 | 342 | 5.2974 |
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+ | No log | 39.0 | 351 | 5.4448 |
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+ | No log | 40.0 | 360 | 5.3754 |
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+ | No log | 41.0 | 369 | 5.4268 |
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+ | No log | 42.0 | 378 | 5.3358 |
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+ | No log | 43.0 | 387 | 5.5747 |
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+ | No log | 44.0 | 396 | 5.4288 |
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+ | No log | 45.0 | 405 | 5.5518 |
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+ | No log | 46.0 | 414 | 5.5660 |
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+ | No log | 47.0 | 423 | 5.6152 |
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+ | No log | 48.0 | 432 | 5.5936 |
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+ | No log | 49.0 | 441 | 5.6171 |
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+ | No log | 50.0 | 450 | 5.6390 |
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  ### Framework versions
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