Initial model release

README.md

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 ---
 license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: results
+ 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. -->
+
+# results
+
+This model is a fine-tuned version of [ukr-models/xlm-roberta-base-uk](https://huggingface.co/ukr-models/xlm-roberta-base-uk) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4778
+
+## 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: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.4526 | 1.0 | 650 | 1.3631 |
+| 1.3317 | 2.0 | 1300 | 1.2229 |
+| 1.0693 | 3.0 | 1950 | 1.2184 |
+| 0.6851 | 4.0 | 2600 | 1.3171 |
+| 0.5594 | 5.0 | 3250 | 1.3893 |
+| 0.4954 | 6.0 | 3900 | 1.4778 |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0
+- Datasets 2.2.2
+- Tokenizers 0.12.1

config.json

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+ "XLMRobertaForQuestionAnswering"
+ ],
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+ "model_type": "xlm-roberta",
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+ "num_hidden_layers": 12,
+ "output_past": true,
+ "pad_token_id": 1,
+ "position_embedding_type": "absolute",
+ "torch_dtype": "float32",
+ "transformers_version": "4.19.2",
+ "type_vocab_size": 1,
+ "use_cache": true,
+ "vocab_size": 31274
+}

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special_tokens_map.json

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tokenizer_config.json

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