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xlm-roberta-large-finetuned-lingala
Davlan/xlm-roberta-large-finetuned-lingala
xlm-roberta-large-finetuned-lingala is a fill-mask model from Davlan. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 25, 2022
- Updated
- Aug 25, 2022
- SHA
- 46b3c7c0
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
lin_xlmr
This model is a fine-tuned version of models/lin_xlmr/ on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.1469
- eval_runtime: 22.8128
- eval_samples_per_second: 32.175
- eval_steps_per_second: 4.033
- step: 0
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: 5
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.21.1
- Pytorch 1.7.1+cu110
- Datasets 1.16.1
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- xlm-roberta
- Created
- Aug 25, 2022
- Updated
- Aug 25, 2022