Downloads · 30 days
8
2% of all-time downloads
scibert_scivocab_uncased_finetuned_leukaemia
eplatas/scibert_scivocab_uncased_finetuned_leukaemia
scibert_scivocab_uncased_finetuned_leukaemia is a text generation model from eplatas. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
370
Public
Repo size
880 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin440 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 16, 2022
- Updated
- Jun 16, 2022
- SHA
- 3847812f
Try a prompt
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. -->
scibert_scivocab_uncased_finetuned_leukaemia
This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4985
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.742 | 1.0 | 50 | 2.9184 |
| 0.7729 | 2.0 | 100 | 1.0324 |
| 0.697 | 3.0 | 150 | 0.5968 |
| 0.6573 | 4.0 | 200 | 0.4985 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Generation
- Library
- transformers
- Type
- bert
- Created
- Jun 16, 2022
- Updated
- Jun 16, 2022