Model save

README.md

@@ -0,0 +1,61 @@
+---
+license: apache-2.0
+base_model: google/mobilebert-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: mobilebert-uncased-30-10-2
+  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-uncased-30-10-2
+
+This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1286
+
+## 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: 1e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 131  | 3.6617          |
+| No log        | 2.0   | 262  | 3.3484          |
+| No log        | 3.0   | 393  | 3.2335          |
+| 100918.664    | 4.0   | 524  | 3.1511          |
+| 100918.664    | 5.0   | 655  | 3.1286          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:338fedbfa25d176fc5f13a1cfc4911cb43192d108418029c9d88e6cd9ee0d24d
+oid sha256:5230cb0a053bde9d8872d5c7f8b0b0dd5db605d1aec82c2ca5ed9e521b889e5a
 size 98721439