xlm-roberta-en-ru-emoji-v2

Mattral/xlm-roberta-en-ru-emoji-v2

xlm-roberta-en-ru-emoji-v2 is a machine learning model from Mattral. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

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Base models

DeepPavlov/xlm-roberta-large-en-ru

Model card

From the Hugging Face model README

xlm-roberta-en-ru-emoji-v2

This model is a fine-tuned version of DeepPavlov/xlm-roberta-large-en-ru on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3356
Accuracy: 0.3102

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: 96
eval_batch_size: 96
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.4	200	3.0592	0.1204
No log	0.81	400	2.5356	0.2480
2.6294	1.21	600	2.4570	0.2569
2.6294	1.62	800	2.3332	0.2832
1.9286	2.02	1000	2.3354	0.2803
1.9286	2.42	1200	2.3610	0.2881
1.9286	2.83	1400	2.3004	0.2973
1.7312	3.23	1600	2.3619	0.3026
1.7312	3.64	1800	2.3596	0.3032
1.5816	4.04	2000	2.2972	0.3072
1.5816	4.44	2200	2.3077	0.3073
1.5816	4.85	2400	2.3356	0.3102

Framework versions

Transformers 4.12.3
Pytorch 1.9.1
Datasets 1.15.1
Tokenizers 0.10.3

Type: xlm-roberta
Created: Jul 10, 2026
Updated: Jul 10, 2026