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output3 – AI Model by beneor | AlphaNeural AI

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beneor/
output3

like

0

text-classification

generated_from_trainer

DeepPavlov/xlm-roberta-large-en-ru-mnli

autotrain_compatible

endpoints_compatible

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output3

This model is a fine-tuned version of 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