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bert-base-uncased-issues-128

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Training complete!

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Files changed (7) hide show
  1. README.md +22 -21
  2. added_tokens.json +7 -0
  3. config.json +1 -1
  4. generation_config.json +1 -1
  5. pytorch_model.bin +2 -2
  6. tokenizer_config.json +44 -2
  7. training_args.bin +2 -2
README.md CHANGED
@@ -1,5 +1,6 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2456
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  ## Model description
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@@ -45,27 +46,27 @@ 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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- | 2.0986 | 1.0 | 291 | 1.6929 |
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- | 1.6401 | 2.0 | 582 | 1.4304 |
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- | 1.4881 | 3.0 | 873 | 1.3916 |
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- | 1.4 | 4.0 | 1164 | 1.3796 |
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- | 1.3416 | 5.0 | 1455 | 1.2012 |
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- | 1.2807 | 6.0 | 1746 | 1.2733 |
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- | 1.2396 | 7.0 | 2037 | 1.2646 |
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- | 1.1993 | 8.0 | 2328 | 1.2098 |
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- | 1.1661 | 9.0 | 2619 | 1.1862 |
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- | 1.1406 | 10.0 | 2910 | 1.2223 |
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- | 1.1294 | 11.0 | 3201 | 1.2056 |
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- | 1.1042 | 12.0 | 3492 | 1.1655 |
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- | 1.0827 | 13.0 | 3783 | 1.2525 |
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- | 1.0738 | 14.0 | 4074 | 1.1685 |
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- | 1.0626 | 15.0 | 4365 | 1.1182 |
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- | 1.0629 | 16.0 | 4656 | 1.2456 |
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  ### Framework versions
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- - Transformers 4.26.1
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- - Pytorch 1.13.1+cu116
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- - Datasets 2.10.1
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- - Tokenizers 0.13.2
 
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  ---
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  license: apache-2.0
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+ base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1725
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.1083 | 1.0 | 291 | 1.6830 |
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+ | 1.6339 | 2.0 | 582 | 1.3684 |
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+ | 1.4793 | 3.0 | 873 | 1.4214 |
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+ | 1.3969 | 4.0 | 1164 | 1.4244 |
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+ | 1.3425 | 5.0 | 1455 | 1.2755 |
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+ | 1.2837 | 6.0 | 1746 | 1.3189 |
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+ | 1.2316 | 7.0 | 2037 | 1.2051 |
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+ | 1.2106 | 8.0 | 2328 | 1.2933 |
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+ | 1.1779 | 9.0 | 2619 | 1.2659 |
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+ | 1.1491 | 10.0 | 2910 | 1.2092 |
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+ | 1.1254 | 11.0 | 3201 | 1.2649 |
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+ | 1.0971 | 12.0 | 3492 | 1.1623 |
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+ | 1.0925 | 13.0 | 3783 | 1.1459 |
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+ | 1.0772 | 14.0 | 4074 | 1.0685 |
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+ | 1.0648 | 15.0 | 4365 | 1.2594 |
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+ | 1.0651 | 16.0 | 4656 | 1.1725 |
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  ### Framework versions
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
added_tokens.json ADDED
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config.json CHANGED
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.26.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 30522
 
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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generation_config.json CHANGED
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  "cls_token": "[CLS]",
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  "do_lower_case": true,
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