thedavidhackett commited on
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End of training

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README.md CHANGED
@@ -17,8 +17,8 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2533
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- - Accuracy: 0.9333
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  ## Model description
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@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 96 | 0.2471 | 0.9111 |
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- | No log | 2.0 | 192 | 0.2360 | 0.9259 |
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- | No log | 3.0 | 288 | 0.2270 | 0.9333 |
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- | No log | 4.0 | 384 | 0.2654 | 0.9370 |
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- | No log | 5.0 | 480 | 0.2533 | 0.9333 |
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  ### Framework versions
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- - Transformers 4.34.1
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  - Pytorch 2.1.0+cu118
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- - Datasets 2.14.6
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  - Tokenizers 0.14.1
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1296
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+ - Accuracy: 0.9673
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.2003 | 1.0 | 520 | 0.1229 | 0.9571 |
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+ | 0.1189 | 2.0 | 1040 | 0.1006 | 0.9639 |
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+ | 0.0793 | 3.0 | 1560 | 0.1006 | 0.9646 |
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+ | 0.0645 | 4.0 | 2080 | 0.1381 | 0.9673 |
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+ | 0.0474 | 5.0 | 2600 | 0.1296 | 0.9673 |
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  ### Framework versions
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+ - Transformers 4.35.1
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  - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.7
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  - Tokenizers 0.14.1
config.json CHANGED
@@ -28,6 +28,6 @@
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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": "4.34.1",
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  "vocab_size": 30522
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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": "4.35.1",
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  "vocab_size": 30522
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  }
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