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End of training

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  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: google/mobilebert-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: mobilebert_100exs_20timesteps
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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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+ # mobilebert_100exs_20timesteps
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+
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+ This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6038.2681
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+ - Accuracy: 0.4
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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: 2e-06
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 16
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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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+ | No log | 1.0 | 13 | 7673916.0 | 0.4 |
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+ | No log | 2.0 | 26 | 6584108.5 | 0.4 |
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+ | No log | 3.0 | 39 | 5544034.0 | 0.4 |
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+ | No log | 4.0 | 52 | 4472702.0 | 0.4 |
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+ | No log | 5.0 | 65 | 3472884.5 | 0.4 |
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+ | No log | 6.0 | 78 | 2438114.0 | 0.4 |
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+ | No log | 7.0 | 91 | 1419238.5 | 0.4 |
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+ | No log | 8.0 | 104 | 339111.1875 | 0.4 |
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+ | No log | 9.0 | 117 | 114032.0781 | 0.4 |
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+ | No log | 10.0 | 130 | 56265.6758 | 0.4 |
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+ | No log | 11.0 | 143 | 28542.5312 | 0.4 |
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+ | No log | 12.0 | 156 | 12412.2344 | 0.4 |
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+ | No log | 13.0 | 169 | 8272.7559 | 0.4 |
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+ | No log | 14.0 | 182 | 6995.5869 | 0.4 |
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+ | No log | 15.0 | 195 | 6293.6924 | 0.4 |
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+ | No log | 16.0 | 208 | 6038.2681 | 0.4 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.0+cu118
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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