update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- sberquad
+model-index:
+- name: my_awesome_qa_model
+  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. -->
+
+# my_awesome_qa_model
+
+This model is a fine-tuned version of [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) on the sberquad dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3730
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 250  | 2.4718          |
+| 0.9921        | 2.0   | 500  | 2.7453          |
+| 0.9921        | 3.0   | 750  | 2.9411          |
+| 0.5693        | 4.0   | 1000 | 3.3692          |
+| 0.5693        | 5.0   | 1250 | 3.4130          |
+| 0.3076        | 6.0   | 1500 | 3.5991          |
+| 0.3076        | 7.0   | 1750 | 4.0631          |
+| 0.1596        | 8.0   | 2000 | 4.1718          |
+| 0.1596        | 9.0   | 2250 | 4.3437          |
+| 0.0984        | 10.0  | 2500 | 4.3730          |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.0+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3