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_500exs_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_500exs_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: 0.7313
+- Accuracy: 0.48
+
+## 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-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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   | 63   | 0.7190          | 0.53     |
+| No log        | 2.0   | 126  | 0.7219          | 0.47     |
+| No log        | 3.0   | 189  | 0.6946          | 0.53     |
+| No log        | 4.0   | 252  | 0.7081          | 0.46     |
+| No log        | 5.0   | 315  | 0.7062          | 0.47     |
+| No log        | 6.0   | 378  | 0.7014          | 0.47     |
+| No log        | 7.0   | 441  | 0.7058          | 0.46     |
+| 70646.992     | 8.0   | 504  | 0.6969          | 0.54     |
+| 70646.992     | 9.0   | 567  | 0.7082          | 0.44     |
+| 70646.992     | 10.0  | 630  | 0.8435          | 0.47     |
+| 70646.992     | 11.0  | 693  | 0.7574          | 0.47     |
+| 70646.992     | 12.0  | 756  | 0.6926          | 0.55     |
+| 70646.992     | 13.0  | 819  | 0.7150          | 0.47     |
+| 70646.992     | 14.0  | 882  | 0.7133          | 0.51     |
+| 70646.992     | 15.0  | 945  | 0.7492          | 0.47     |
+| 0.6741        | 16.0  | 1008 | 0.7313          | 0.48     |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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