metadata
library_name: transformers
license: other
datasets:
- DedalusHealthCare/ner_demo_de
base_model: DedalusHealthCare/tinybert-mlm-de
tags:
- generated_from_trainer
- finetuned
- quantized
model-index:
- name: tinybert-demo-de
results: []
tinybert-demo-de
This model is a fine-tuned version of DedalusHealthCare/tinybert-mlm-de on the None dataset.
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 33
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.45.1
- Pytorch 2.6.0+cu124
- Datasets 2.16.0
- Tokenizers 0.20.3