SurajSphinx commited on
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Model save

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README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: distilbert/distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # shipping_qa_model_30_04_24
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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: 4.4199
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  ## Model description
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@@ -40,22 +40,42 @@ 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 | 28 | 4.3952 |
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- | No log | 2.0 | 56 | 4.3642 |
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- | No log | 3.0 | 84 | 4.3808 |
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- | No log | 4.0 | 112 | 4.3586 |
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- | No log | 5.0 | 140 | 4.4211 |
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- | No log | 6.0 | 168 | 4.3870 |
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- | No log | 7.0 | 196 | 4.3894 |
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- | No log | 8.0 | 224 | 4.4035 |
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- | No log | 9.0 | 252 | 4.4117 |
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- | No log | 10.0 | 280 | 4.4199 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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+ license: cc-by-4.0
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+ base_model: deepset/roberta-base-squad2
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # shipping_qa_model_30_04_24
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+ This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.8070
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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: 30
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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 | 28 | 5.7792 |
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+ | No log | 2.0 | 56 | 5.4899 |
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+ | No log | 3.0 | 84 | 5.3744 |
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+ | No log | 4.0 | 112 | 5.2672 |
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+ | No log | 5.0 | 140 | 5.0586 |
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+ | No log | 6.0 | 168 | 4.8332 |
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+ | No log | 7.0 | 196 | 4.7809 |
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+ | No log | 8.0 | 224 | 4.7767 |
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+ | No log | 9.0 | 252 | 4.6233 |
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+ | No log | 10.0 | 280 | 4.5430 |
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+ | No log | 11.0 | 308 | 4.4714 |
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+ | No log | 12.0 | 336 | 4.3689 |
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+ | No log | 13.0 | 364 | 4.3410 |
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+ | No log | 14.0 | 392 | 4.2705 |
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+ | No log | 15.0 | 420 | 4.2760 |
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+ | No log | 16.0 | 448 | 4.1572 |
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+ | No log | 17.0 | 476 | 4.1465 |
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+ | 4.5743 | 18.0 | 504 | 4.0708 |
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+ | 4.5743 | 19.0 | 532 | 4.0196 |
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+ | 4.5743 | 20.0 | 560 | 4.0183 |
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+ | 4.5743 | 21.0 | 588 | 3.9759 |
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+ | 4.5743 | 22.0 | 616 | 3.9140 |
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+ | 4.5743 | 23.0 | 644 | 3.9308 |
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+ | 4.5743 | 24.0 | 672 | 3.8611 |
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+ | 4.5743 | 25.0 | 700 | 3.8159 |
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+ | 4.5743 | 26.0 | 728 | 3.8126 |
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+ | 4.5743 | 27.0 | 756 | 3.8272 |
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+ | 4.5743 | 28.0 | 784 | 3.8185 |
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+ | 4.5743 | 29.0 | 812 | 3.8074 |
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+ | 4.5743 | 30.0 | 840 | 3.8070 |
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  ### Framework versions
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