End of training

README.md

@@ -0,0 +1,75 @@
+---
+license: apache-2.0
+base_model: google/mobilebert-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mobilebert_500exs_10timesteps
+  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
+
+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: 0.7109
+- Accuracy: 0.55
+
+## 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: 32
+- eval_batch_size: 32
+- 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   | 16   | 3126378.25      | 0.45     |
+| No log        | 2.0   | 32   | 2298910.5       | 0.45     |
+| No log        | 3.0   | 48   | 1604316.0       | 0.45     |
+| No log        | 4.0   | 64   | 1062719.5       | 0.45     |
+| No log        | 5.0   | 80   | 620928.0        | 0.45     |
+| No log        | 6.0   | 96   | 213084.875      | 0.45     |
+| No log        | 7.0   | 112  | 11615.9521      | 0.45     |
+| No log        | 8.0   | 128  | 3076.3987       | 0.45     |
+| No log        | 9.0   | 144  | 2151.5054       | 0.45     |
+| No log        | 10.0  | 160  | 1142.7941       | 0.45     |
+| No log        | 11.0  | 176  | 6.6242          | 0.45     |
+| No log        | 12.0  | 192  | 1.4116          | 0.45     |
+| No log        | 13.0  | 208  | 0.8847          | 0.45     |
+| No log        | 14.0  | 224  | 0.6917          | 0.54     |
+| No log        | 15.0  | 240  | 0.7124          | 0.55     |
+| No log        | 16.0  | 256  | 0.7109          | 0.55     |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0d0e5c155c6dcca3b9f74d278fbe0873a5506c3d166cf0b93496842b88b749ad
+oid sha256:823b4cf29f413c32a214fa31da02223c8e224c8b037ac4b036182bc94736d3fb
 size 98470112