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End of training

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  1. README.md +71 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: xlm-roberta-en-ru-emoji-v2
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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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+ # xlm-roberta-en-ru-emoji-v2
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+
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+ This model is a fine-tuned version of [DeepPavlov/xlm-roberta-large-en-ru](https://huggingface.co/DeepPavlov/xlm-roberta-large-en-ru) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.3356
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+ - Accuracy: 0.3102
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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: 2e-05
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+ - train_batch_size: 96
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+ - eval_batch_size: 96
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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: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.4 | 200 | 3.0592 | 0.1204 |
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+ | No log | 0.81 | 400 | 2.5356 | 0.2480 |
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+ | 2.6294 | 1.21 | 600 | 2.4570 | 0.2569 |
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+ | 2.6294 | 1.62 | 800 | 2.3332 | 0.2832 |
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+ | 1.9286 | 2.02 | 1000 | 2.3354 | 0.2803 |
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+ | 1.9286 | 2.42 | 1200 | 2.3610 | 0.2881 |
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+ | 1.9286 | 2.83 | 1400 | 2.3004 | 0.2973 |
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+ | 1.7312 | 3.23 | 1600 | 2.3619 | 0.3026 |
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+ | 1.7312 | 3.64 | 1800 | 2.3596 | 0.3032 |
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+ | 1.5816 | 4.04 | 2000 | 2.2972 | 0.3072 |
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+ | 1.5816 | 4.44 | 2200 | 2.3077 | 0.3073 |
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+ | 1.5816 | 4.85 | 2400 | 2.3356 | 0.3102 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.12.3
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+ - Pytorch 1.9.1
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+ - Datasets 1.15.1
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+ - Tokenizers 0.10.3
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