End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mobilebert-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mobilebert_100exs_10timesteps_run0
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# mobilebert_100exs_10timesteps_run0
+
+This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 886719.8125
+- Accuracy: 0.3
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 16
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 7    | 3096381.5       | 0.3      |
+| No log        | 2.0   | 14   | 2705231.0       | 0.3      |
+| No log        | 3.0   | 21   | 2380465.5       | 0.3      |
+| No log        | 4.0   | 28   | 2136194.5       | 0.3      |
+| No log        | 5.0   | 35   | 1909053.75      | 0.3      |
+| No log        | 6.0   | 42   | 1667145.0       | 0.3      |
+| No log        | 7.0   | 49   | 1493787.75      | 0.3      |
+| No log        | 8.0   | 56   | 1344492.5       | 0.3      |
+| No log        | 9.0   | 63   | 1218353.25      | 0.3      |
+| No log        | 10.0  | 70   | 1119155.375     | 0.3      |
+| No log        | 11.0  | 77   | 1045936.5       | 0.3      |
+| No log        | 12.0  | 84   | 987271.5        | 0.3      |
+| No log        | 13.0  | 91   | 942506.0        | 0.3      |
+| No log        | 14.0  | 98   | 911861.0        | 0.3      |
+| No log        | 15.0  | 105  | 893725.875      | 0.3      |
+| No log        | 16.0  | 112  | 886719.8125     | 0.3      |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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