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distilbert-base-cased-squad

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distilbert
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End of training

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  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ 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 the squad dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4144
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 0
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.8764 | 1.0 | 1688 | 1.4144 |
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- | 0.5653 | 2.0 | 3376 | 1.4274 |
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- | 0.3689 | 3.0 | 5064 | 1.7517 |
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- | 0.2427 | 4.0 | 6752 | 2.0817 |
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- | 0.1613 | 5.0 | 8440 | 2.3114 |
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- | 0.1159 | 6.0 | 10128 | 2.5096 |
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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 the squad dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3394
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 10
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+ - eval_batch_size: 10
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  - seed: 0
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.3677 | 1.0 | 1350 | 1.5690 |
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+ | 1.2389 | 2.0 | 2700 | 1.3666 |
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+ | 0.8202 | 3.0 | 4050 | 1.3394 |
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+ | 0.5676 | 4.0 | 5400 | 1.5052 |
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+ | 0.4022 | 5.0 | 6750 | 1.6366 |
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+ | 0.305 | 6.0 | 8100 | 1.7423 |
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  ### Framework versions
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