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makhataei
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qa-persian-mdeberta-v3-base-squad2

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deberta-v2
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  1. README.md +53 -53
  2. model.safetensors +1 -1
  3. runs/Feb27_18-53-22_Software-AI/events.out.tfevents.1709047403.Software-AI.597540.4 +2 -2
README.md CHANGED
@@ -36,7 +36,7 @@ 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: 0.00025
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
@@ -46,58 +46,58 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 4.8302 | 1.0 | 201 | 4.7698 |
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- | 4.8334 | 2.0 | 402 | 4.7698 |
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- | 4.83 | 3.0 | 603 | 4.7698 |
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- | 4.8325 | 4.0 | 804 | 4.7698 |
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- | 4.8774 | 5.0 | 1005 | 4.7698 |
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- | 4.8289 | 6.0 | 1206 | 4.7698 |
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- | 4.831 | 7.0 | 1407 | 4.7698 |
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- | 4.8365 | 8.0 | 1608 | 4.7698 |
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- | 4.8342 | 9.0 | 1809 | 4.7698 |
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- | 4.8348 | 10.0 | 2010 | 4.7698 |
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- | 4.8334 | 11.0 | 2211 | 4.7698 |
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- | 4.8329 | 12.0 | 2412 | 4.7698 |
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- | 4.8308 | 13.0 | 2613 | 4.7698 |
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- | 4.8314 | 14.0 | 2814 | 4.7698 |
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- | 4.8345 | 15.0 | 3015 | 4.7698 |
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- | 4.8299 | 16.0 | 3216 | 4.7698 |
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- | 4.8319 | 17.0 | 3417 | 4.7698 |
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- | 4.8336 | 18.0 | 3618 | 4.7698 |
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- | 4.8359 | 19.0 | 3819 | 4.7698 |
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- | 4.835 | 20.0 | 4020 | 4.7698 |
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- | 4.8319 | 21.0 | 4221 | 4.7698 |
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- | 4.828 | 22.0 | 4422 | 4.7698 |
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- | 4.8317 | 23.0 | 4623 | 4.7698 |
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- | 4.8322 | 24.0 | 4824 | 4.7698 |
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- | 4.8371 | 25.0 | 5025 | 4.7698 |
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- | 4.8339 | 26.0 | 5226 | 4.7698 |
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- | 4.8336 | 27.0 | 5427 | 4.7698 |
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- | 4.8332 | 28.0 | 5628 | 4.7698 |
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- | 4.8351 | 29.0 | 5829 | 4.7698 |
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- | 4.8299 | 30.0 | 6030 | 4.7698 |
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- | 4.8319 | 31.0 | 6231 | 4.7698 |
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- | 4.8329 | 32.0 | 6432 | 4.7698 |
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- | 4.8358 | 33.0 | 6633 | 4.7698 |
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- | 4.8275 | 34.0 | 6834 | 4.7698 |
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- | 4.8316 | 35.0 | 7035 | 4.7698 |
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- | 4.8343 | 36.0 | 7236 | 4.7698 |
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- | 4.8267 | 37.0 | 7437 | 4.7698 |
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- | 4.8335 | 38.0 | 7638 | 4.7698 |
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- | 4.8354 | 39.0 | 7839 | 4.7698 |
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- | 4.834 | 40.0 | 8040 | 4.7698 |
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- | 4.832 | 41.0 | 8241 | 4.7698 |
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- | 4.8344 | 42.0 | 8442 | 4.7698 |
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- | 4.829 | 43.0 | 8643 | 4.7698 |
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- | 4.8359 | 44.0 | 8844 | 4.7698 |
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- | 4.8337 | 45.0 | 9045 | 4.7698 |
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- | 4.8294 | 46.0 | 9246 | 4.7698 |
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- | 4.8287 | 47.0 | 9447 | 4.7698 |
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- | 4.8308 | 48.0 | 9648 | 4.7698 |
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- | 4.8283 | 49.0 | 9849 | 4.7698 |
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- | 4.8333 | 50.0 | 10050 | 4.7698 |
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  ### Framework versions
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - learning_rate: 0.000125
40
  - train_batch_size: 14
41
  - eval_batch_size: 14
42
  - seed: 42
 
46
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.8143 | 1.0 | 86 | 4.7698 |
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+ | 4.8248 | 2.0 | 172 | 4.7698 |
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+ | 4.8228 | 3.0 | 258 | 4.7698 |
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+ | 4.8278 | 4.0 | 344 | 4.7698 |
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+ | 4.8267 | 5.0 | 430 | 4.7698 |
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+ | 4.8273 | 6.0 | 516 | 4.7698 |
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+ | 4.8258 | 7.0 | 602 | 4.7698 |
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+ | 4.83 | 8.0 | 688 | 4.7698 |
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+ | 4.8212 | 9.0 | 774 | 4.7698 |
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+ | 4.8206 | 10.0 | 860 | 4.7698 |
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+ | 4.8208 | 11.0 | 946 | 4.7698 |
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+ | 4.8242 | 12.0 | 1032 | 4.7698 |
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+ | 4.8242 | 13.0 | 1118 | 4.7698 |
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+ | 4.8249 | 14.0 | 1204 | 4.7698 |
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+ | 4.8255 | 15.0 | 1290 | 4.7698 |
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+ | 4.8246 | 16.0 | 1376 | 4.7698 |
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+ | 4.8238 | 17.0 | 1462 | 4.7698 |
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+ | 4.8254 | 18.0 | 1548 | 4.7698 |
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+ | 4.8278 | 19.0 | 1634 | 4.7698 |
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+ | 4.827 | 20.0 | 1720 | 4.7698 |
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+ | 4.829 | 21.0 | 1806 | 4.7698 |
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+ | 4.8231 | 22.0 | 1892 | 4.7698 |
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+ | 4.8312 | 23.0 | 1978 | 4.7698 |
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+ | 4.8274 | 24.0 | 2064 | 4.7698 |
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+ | 4.8272 | 25.0 | 2150 | 4.7698 |
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+ | 4.8288 | 26.0 | 2236 | 4.7698 |
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+ | 4.8273 | 27.0 | 2322 | 4.7698 |
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+ | 4.8271 | 28.0 | 2408 | 4.7698 |
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+ | 4.8297 | 29.0 | 2494 | 4.7698 |
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+ | 4.8312 | 30.0 | 2580 | 4.7698 |
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+ | 4.8274 | 31.0 | 2666 | 4.7698 |
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+ | 4.829 | 32.0 | 2752 | 4.7698 |
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+ | 4.8264 | 33.0 | 2838 | 4.7698 |
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+ | 4.8286 | 34.0 | 2924 | 4.7698 |
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+ | 4.8277 | 35.0 | 3010 | 4.7698 |
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+ | 4.8322 | 36.0 | 3096 | 4.7698 |
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+ | 4.8277 | 37.0 | 3182 | 4.7698 |
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+ | 4.8292 | 38.0 | 3268 | 4.7698 |
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+ | 4.8267 | 39.0 | 3354 | 4.7698 |
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+ | 4.8302 | 40.0 | 3440 | 4.7698 |
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+ | 4.8336 | 41.0 | 3526 | 4.7698 |
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+ | 4.829 | 42.0 | 3612 | 4.7698 |
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+ | 4.8273 | 43.0 | 3698 | 4.7698 |
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+ | 4.8321 | 44.0 | 3784 | 4.7698 |
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+ | 4.8315 | 45.0 | 3870 | 4.7698 |
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+ | 4.8268 | 46.0 | 3956 | 4.7698 |
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+ | 4.8327 | 47.0 | 4042 | 4.7698 |
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+ | 4.8333 | 48.0 | 4128 | 4.7698 |
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+ | 4.8313 | 49.0 | 4214 | 4.7698 |
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+ | 4.8275 | 50.0 | 4300 | 4.7698 |
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  ### Framework versions
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