Downloads · 30 days
9
10% of all-time downloads
xlm-roberta-base-finetuned-TQuad
erdometo/xlm-roberta-base-finetuned-TQuad
xlm-roberta-base-finetuned-TQuad is a question answering model from erdometo. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
94
Public
Parameters
277M
8.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jan 26, 2024
- Updated
- Jan 26, 2024
- SHA
- 09605a6c
Base models
Datasets
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. -->
xlm-roberta-base-finetuned-TQuad
This model is a fine-tuned version of IProject-10/xlm-roberta-base-finetuned-squad2 on tquad.0.1 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2300
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3241 | 1.0 | 520 | 1.2748 |
| 0.9743 | 2.0 | 1040 | 1.2063 |
| 0.7823 | 3.0 | 1560 | 1.2300 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- tr
- Created
- Jan 26, 2024
- Updated
- Jan 26, 2024