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tuquyennnn
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LoRA-FlanT5-small-v2

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Safetensors
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  1. README.md +19 -19
  2. adapter_model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1187
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  ## Model description
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@@ -49,24 +49,24 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.2232 | 0.32 | 250 | 0.1641 |
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- | 0.1804 | 0.64 | 500 | 0.1326 |
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- | 0.1627 | 0.96 | 750 | 0.1238 |
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- | 0.1564 | 1.28 | 1000 | 0.1209 |
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- | 0.1531 | 1.61 | 1250 | 0.1197 |
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- | 0.1518 | 1.93 | 1500 | 0.1193 |
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- | 0.1525 | 2.25 | 1750 | 0.1190 |
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- | 0.152 | 2.57 | 2000 | 0.1189 |
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- | 0.1518 | 2.89 | 2250 | 0.1188 |
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- | 0.1522 | 3.21 | 2500 | 0.1187 |
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- | 0.1524 | 3.53 | 2750 | 0.1187 |
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- | 0.1514 | 3.85 | 3000 | 0.1187 |
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- | 0.1514 | 4.17 | 3250 | 0.1187 |
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- | 0.1502 | 4.49 | 3500 | 0.1186 |
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- | 0.1525 | 4.82 | 3750 | 0.1186 |
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- | 0.1507 | 5.14 | 4000 | 0.1187 |
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- | 0.1507 | 5.46 | 4250 | 0.1186 |
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- | 0.1511 | 5.78 | 4500 | 0.1187 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1183
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.2283 | 0.32 | 250 | 0.1639 |
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+ | 0.1808 | 0.64 | 500 | 0.1314 |
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+ | 0.1624 | 0.96 | 750 | 0.1232 |
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+ | 0.1563 | 1.28 | 1000 | 0.1205 |
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+ | 0.153 | 1.61 | 1250 | 0.1194 |
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+ | 0.1519 | 1.93 | 1500 | 0.1189 |
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+ | 0.1527 | 2.25 | 1750 | 0.1187 |
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+ | 0.152 | 2.57 | 2000 | 0.1185 |
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+ | 0.1518 | 2.89 | 2250 | 0.1184 |
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+ | 0.1523 | 3.21 | 2500 | 0.1183 |
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+ | 0.1525 | 3.53 | 2750 | 0.1183 |
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+ | 0.1513 | 3.85 | 3000 | 0.1183 |
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+ | 0.1514 | 4.17 | 3250 | 0.1183 |
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+ | 0.1501 | 4.49 | 3500 | 0.1183 |
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+ | 0.1526 | 4.82 | 3750 | 0.1183 |
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+ | 0.1506 | 5.14 | 4000 | 0.1183 |
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+ | 0.1507 | 5.46 | 4250 | 0.1183 |
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+ | 0.1512 | 5.78 | 4500 | 0.1183 |
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  ### Framework versions
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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