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End of training

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  1. README.md +74 -0
  2. model.safetensors +1 -1
README.md ADDED
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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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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: distilbert_distilbert-base-uncased-15-epoch
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # distilbert_distilbert-base-uncased-15-epoch
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+
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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: 4.3248
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+ - Accuracy: 0.4133
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.3078 | 1.0 | 2857 | 1.3426 | 0.3356 |
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+ | 1.1327 | 2.0 | 5714 | 1.4079 | 0.3560 |
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+ | 0.911 | 3.0 | 8571 | 1.5413 | 0.3789 |
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+ | 0.7139 | 4.0 | 11428 | 1.7088 | 0.3942 |
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+ | 0.548 | 5.0 | 14285 | 1.9117 | 0.3902 |
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+ | 0.4389 | 6.0 | 17142 | 2.1179 | 0.3971 |
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+ | 0.3422 | 7.0 | 19999 | 2.5687 | 0.4002 |
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+ | 0.2707 | 8.0 | 22856 | 2.6006 | 0.4019 |
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+ | 0.2258 | 9.0 | 25713 | 2.8582 | 0.4069 |
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+ | 0.1817 | 10.0 | 28570 | 3.2135 | 0.4031 |
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+ | 0.1506 | 11.0 | 31427 | 3.2640 | 0.4074 |
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+ | 0.1285 | 12.0 | 34284 | 3.6061 | 0.4086 |
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+ | 0.1067 | 13.0 | 37141 | 3.7931 | 0.4141 |
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+ | 0.088 | 14.0 | 39998 | 4.1130 | 0.4129 |
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+ | 0.0772 | 15.0 | 42855 | 4.3248 | 0.4133 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.0
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