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_run1
+  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_run1
+
+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: 0.6723
+- Accuracy: 0.58
+
+## 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: 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   | 32   | 0.7404          | 0.57     |
+| No log        | 2.0   | 64   | 0.7478          | 0.57     |
+| No log        | 3.0   | 96   | 0.7952          | 0.57     |
+| No log        | 4.0   | 128  | 0.6763          | 0.56     |
+| No log        | 5.0   | 160  | 0.6819          | 0.58     |
+| No log        | 6.0   | 192  | 0.6723          | 0.58     |
+| No log        | 7.0   | 224  | 0.6994          | 0.57     |
+| No log        | 8.0   | 256  | 0.8576          | 0.43     |
+| No log        | 9.0   | 288  | 0.7126          | 0.46     |
+| No log        | 10.0  | 320  | 0.7118          | 0.48     |
+| No log        | 11.0  | 352  | 0.7136          | 0.57     |
+| No log        | 12.0  | 384  | 0.6758          | 0.59     |
+| No log        | 13.0  | 416  | 0.6921          | 0.55     |
+| No log        | 14.0  | 448  | 0.6718          | 0.56     |
+| No log        | 15.0  | 480  | 0.6725          | 0.57     |
+| 130076.376    | 16.0  | 512  | 0.6723          | 0.58     |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.2

model.safetensors

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