Model save

README.md

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+---
+license: mit
+base_model: csarron/mobilebert-uncased-squad-v2
+tags:
+- generated_from_trainer
+model-index:
+- name: mobilebert-uncased-squad-v2-30-10-2
+  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-squad-v2-30-10-2
+
+This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v2](https://huggingface.co/csarron/mobilebert-uncased-squad-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5440
+
+## 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: 3e-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  | 2.4131          |
+| No log        | 2.0   | 262  | 2.2294          |
+| No log        | 3.0   | 393  | 2.3205          |
+| 1.6638        | 4.0   | 524  | 2.5108          |
+| 1.6638        | 5.0   | 655  | 2.5440          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

pytorch_model.bin

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