End of training
Browse files- README.md +71 -0
- pytorch_model.bin +1 -1
README.md
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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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<!-- 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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# xlm-roberta-en-ru-emoji-v2
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1359429997
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version https://git-lfs.github.com/spec/v1
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size 1359429997
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