This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on the indonlu dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 275 | 0.2543 | 0.9190 | 0.9213 | 0.9190 | 0.9196 |
| 0.2191 | 2.0 | 550 | 0.2710 | 0.9143 | 0.9133 | 0.9143 | 0.9134 |
| 0.2191 | 3.0 | 825 | 0.3715 | 0.9135 | 0.9144 | 0.9135 | 0.9114 |
| 0.0714 | 4.0 | 1100 | 0.4751 | 0.9071 | 0.9085 | 0.9071 | 0.9077 |
| 0.0714 | 5.0 | 1375 | 0.4859 | 0.9206 | 0.9214 | 0.9206 | 0.9203 |
| 0.0263 | 6.0 | 1650 | 0.5383 | 0.9143 | 0.9155 | 0.9143 | 0.9143 |
| 0.0263 | 7.0 | 1925 | 0.5630 | 0.9167 | 0.9166 | 0.9167 | 0.9165 |
| 0.0126 | 8.0 | 2200 | 0.5916 | 0.9151 | 0.9151 | 0.9151 | 0.9146 |
| 0.0126 | 9.0 | 2475 | 0.6073 | 0.9135 | 0.9130 | 0.9135 | 0.9131 |
| 0.0056 | 10.0 | 2750 | 0.6085 | 0.9151 | 0.9153 | 0.9151 | 0.9150 |
model.safetensors 541 MBtraining_args.bin 4.5 kB