token
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
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Model tree for Iran-IOAIteam/token
Base model
google-bert/bert-base-multilingual-uncased
Finetuned
this model