xlm-roberta-large-finetuned-squad-v2_15102021
This model is a fine-tuned version of xlm-roberta-large on the squad_v2 dataset. It achieves the following results on the evaluation set:
- eval_loss: 17.5548
- eval_runtime: 168.7788
- eval_samples_per_second: 23.368
- eval_steps_per_second: 5.842
- epoch: 8.0
- step: 7600
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.13.1
- Tokenizers 0.10.3
- Downloads last month
- 14
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.