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# output3

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.
It achieves the following results on the evaluation set:
- eval_loss: 0.2331
- eval_accuracy: 0.9646
- eval_f1-score: 0.9615
- eval_mcc: 0.9516
- eval_runtime: 78.2027
- eval_samples_per_second: 41.52
- eval_steps_per_second: 10.383
- epoch: 3.0
- step: 5682

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "DeepPavlov/xlm-roberta-large-en-ru-mnli", "model-index": [{"name": "output3", "results": []}]}
transformers tensorboard safetensors xlm-roberta text-classification generated_from_trainer base_model:DeepPavlov/xlm-roberta-large-en-ru-mnli autotrain_compatible endpoints_compatible region:us