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rh_qa_model

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  1. README.md +52 -12
  2. model.safetensors +1 -1
  3. runs/Jan29_11-26-52_ac36066877f7/events.out.tfevents.1706527613.ac36066877f7.188.3 +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-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: 3.5099
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  ## Model description
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@@ -40,22 +40,62 @@ The following hyperparameters were used during training:
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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: 10
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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 | 6.0203 |
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- | No log | 2.0 | 18 | 5.2171 |
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- | No log | 3.0 | 27 | 4.6551 |
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- | No log | 4.0 | 36 | 4.5080 |
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- | No log | 5.0 | 45 | 4.1615 |
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- | No log | 6.0 | 54 | 4.1443 |
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- | No log | 7.0 | 63 | 3.5935 |
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- | No log | 8.0 | 72 | 3.7299 |
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- | No log | 9.0 | 81 | 3.5616 |
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- | No log | 10.0 | 90 | 3.5099 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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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  - 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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