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This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.8536
• eval_runtime: 1.2985
• eval_samples_per_second: 471.307
• eval_steps_per_second: 6.931
• epoch: 1.9028
• step: 16600

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: 70
• eval_batch_size: 70
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 3
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.43.3
• Pytorch 2.3.0+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1