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distilbert-base-uncased-finetuned-squad

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  1. README.md +26 -9
  2. model.safetensors +1 -1
  3. runs/Dec20_19-41-38_9d2a071eef57/events.out.tfevents.1703101300.9d2a071eef57.4213.0 +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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7486
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  ## Model description
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@@ -40,20 +40,37 @@ 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: 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 | 66 | 3.2103 |
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- | No log | 2.0 | 132 | 2.8915 |
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- | No log | 3.0 | 198 | 2.7486 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.31.0
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- - Pytorch 2.0.1+cu118
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- - Datasets 2.14.4
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- - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 4.1676
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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: 20
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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 | 47 | 3.7022 |
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+ | No log | 2.0 | 94 | 3.2578 |
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+ | No log | 3.0 | 141 | 3.1677 |
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+ | No log | 4.0 | 188 | 3.1411 |
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+ | No log | 5.0 | 235 | 3.2288 |
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+ | No log | 6.0 | 282 | 3.2640 |
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+ | No log | 7.0 | 329 | 3.3689 |
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+ | No log | 8.0 | 376 | 3.4776 |
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+ | No log | 9.0 | 423 | 3.5919 |
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+ | No log | 10.0 | 470 | 3.6319 |
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+ | 2.2819 | 11.0 | 517 | 3.8199 |
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+ | 2.2819 | 12.0 | 564 | 3.9339 |
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+ | 2.2819 | 13.0 | 611 | 3.9348 |
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+ | 2.2819 | 14.0 | 658 | 3.9293 |
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+ | 2.2819 | 15.0 | 705 | 4.0312 |
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+ | 2.2819 | 16.0 | 752 | 4.1651 |
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+ | 2.2819 | 17.0 | 799 | 4.0788 |
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+ | 2.2819 | 18.0 | 846 | 4.1112 |
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+ | 2.2819 | 19.0 | 893 | 4.1513 |
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+ | 2.2819 | 20.0 | 940 | 4.1676 |
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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 2.15.0
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+ - Tokenizers 0.15.0
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