Downloads · 30 days
9
3% of all-time downloads
xlm-roberta-base-finetuned-TQuad2
erdometo/xlm-roberta-base-finetuned-TQuad2
xlm-roberta-base-finetuned-TQuad2 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
340
Public
Parameters
277M
13.3 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 29, 2024
- Updated
- Jan 29, 2024
- SHA
- 065d3bb1
Try a prompt
Base models
Spaces
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-TQuad2
This model is a fine-tuned version of IProject-10/xlm-roberta-base-finetuned-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3530
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 |
|---|---|---|---|
| 1.0578 | 1.0 | 889 | 1.2268 |
| 0.7147 | 2.0 | 1778 | 1.2469 |
| 0.5565 | 3.0 | 2667 | 1.3530 |
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
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024