Downloads · 30 days
11
19% of all-time downloads
gp-tar4/QA_FineTuned_DistilBert-based-uncased
QA_FineTuned_DistilBert-based-uncased is a question answering model from gp-tar4. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
11
19% of all-time downloads
All-time downloads
58
Public
Parameters
65.2M
1.8 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors261 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.0926 | 0.32 | 10 | 3.9348 |
| 3.9237 | 0.64 | 20 | 4.0141 |
| 3.8084 | 0.96 | 30 | 3.8194 |
| 3.6561 | 1.28 | 40 | 3.6860 |
| 3.4836 | 1.6 | 50 | 3.6023 |
| 3.5731 | 1.92 | 60 | 3.5904 |
| 3.497 | 2.24 | 70 | 3.6435 |
| 3.34 | 2.56 | 80 | 3.5359 |
| 3.2943 | 2.88 | 90 | 3.6003 |
| 3.0902 | 3.2 | 100 | 3.6634 |
| 3.1061 | 3.52 | 110 | 3.6059 |
| 3.1395 | 3.84 | 120 | 3.5805 |