Downloads · 30 days
4
9% of all-time downloads
SIR51/banglabert-movie-sentiment
banglabert-movie-sentiment is a text classification model from SIR51. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
4
9% of all-time downloads
All-time downloads
47
Public
Parameters
111M
2.2 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors443 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of csebuetnlp/banglabert 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 | Accuracy | F1 Macro | F1 Weighted | Precision | Recall |
|---|---|---|---|---|---|---|---|---|
| 1.2031 | 1.0 | 178 | 1.1495 | 0.7944 | 0.5205 | 0.7518 | 0.5190 | 0.5300 |
| 0.8774 | 2.0 | 356 | 0.9151 | 0.8352 | 0.5742 | 0.8023 | 0.5932 | 0.6002 |
| 0.6858 | 3.0 | 534 | 1.0084 | 0.8239 | 0.5860 | 0.8023 | 0.5866 | 0.6087 |
| 0.4939 | 4.0 | 712 | 1.0764 | 0.8239 | 0.6295 | 0.8152 | 0.6356 | 0.6283 |
| 0.4619 | 5.0 | 890 | 1.1234 | 0.8282 | 0.6366 | 0.8196 | 0.6457 | 0.6313 |