SLP: Language adapters
Collection
Language adapters trained for the paper: "Soft Language Prompt for Language Transfer"
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16 items
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Updated
german_adapter_100k
This model is a fine-tuned version of bigscience/mt0-base on the wikipedia 20231101.de dataset. It achieves the following results on the evaluation set:
- Loss: 2.1328
- Accuracy: 0.6136
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100000
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
Model tree for ivykopal/german_adapter_100k
Base model
bigscience/mt0-base