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End of training

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  1. README.md +8 -8
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. 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: 1.3927
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  ## Model description
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@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.8555 | 1.0 | 844 | 1.5630 |
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- | 1.3207 | 2.0 | 1688 | 1.2811 |
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- | 0.9341 | 3.0 | 2532 | 1.2754 |
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- | 0.7147 | 4.0 | 3376 | 1.3393 |
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- | 0.5671 | 5.0 | 4220 | 1.3927 |
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  ### Framework versions
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- - Transformers 4.32.1
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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-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: 2.3716
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0415 | 1.0 | 844 | 3.4174 |
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+ | 0.6627 | 2.0 | 1688 | 1.7434 |
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+ | 0.4016 | 3.0 | 2532 | 1.9991 |
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+ | 0.2609 | 4.0 | 3376 | 2.1994 |
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+ | 0.1922 | 5.0 | 4220 | 2.3716 |
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  ### Framework versions
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+ - Transformers 4.33.1
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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  - Tokenizers 0.13.3
config.json CHANGED
@@ -20,6 +20,6 @@
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.32.1",
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  "vocab_size": 28996
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  }
 
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.33.1",
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  "vocab_size": 28996
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  }
pytorch_model.bin CHANGED
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