Model save

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- germanquad
+model-index:
+- name: GQA_BERT7
+  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. -->
+
+# GQA_BERT7
+
+This model was trained from scratch on the germanquad dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0355
+
+## 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: 40
+- eval_batch_size: 40
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 288  | 5.4229          |
+| 4.5272        | 2.0   | 576  | 4.2288          |
+| 4.5272        | 3.0   | 864  | 3.9695          |
+| 3.5782        | 4.0   | 1152 | 4.0760          |
+| 3.5782        | 5.0   | 1440 | 3.7674          |
+| 3.0376        | 6.0   | 1728 | 3.9112          |
+| 2.7057        | 7.0   | 2016 | 4.0355          |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.7
+- Tokenizers 0.15.0

emissions.csv

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