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README.md ADDED
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+ ---
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+ base_model: DeepPavlov/xlm-roberta-large-en-ru-mnli
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: output3
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # output3
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+
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+ This model is a fine-tuned version of [DeepPavlov/xlm-roberta-large-en-ru-mnli](https://huggingface.co/DeepPavlov/xlm-roberta-large-en-ru-mnli) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.2331
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+ - eval_accuracy: 0.9646
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+ - eval_f1-score: 0.9615
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+ - eval_mcc: 0.9516
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+ - eval_runtime: 78.2027
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+ - eval_samples_per_second: 41.52
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+ - eval_steps_per_second: 10.383
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+ - epoch: 3.0
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+ - step: 5682
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.0
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