End of training

README.md

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+---
+license: mit
+base_model: Sarmila/pubmed-bert-mlm
+tags:
+- generated_from_trainer
+datasets:
+- covid_qa_deepset
+model-index:
+- name: pubmed-bert-mlm-squad-covidqa
+  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. -->
+
+# pubmed-bert-mlm-squad-covidqa
+
+This model is a fine-tuned version of [Sarmila/pubmed-bert-mlm](https://huggingface.co/Sarmila/pubmed-bert-mlm) on the covid_qa_deepset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5812
+
+## 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: 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 51   | 0.5056          |
+| No log        | 2.0   | 102  | 0.5423          |
+| No log        | 3.0   | 153  | 0.5812          |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

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tokenizer.json

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