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arifagustyawan
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flan-t5-base-sentiment-product-review

Text2Text Generation
Transformers
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Safetensors
t5
Generated from Trainer
text-generation-inference
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End of training

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  1. README.md +12 -52
  2. model.safetensors +1 -1
  3. runs/Nov24_14-32-50_549b1efa1b6d/events.out.tfevents.1700836382.549b1efa1b6d.315.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8071
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  ## Model description
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@@ -40,62 +40,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 33 | 1.0479 |
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- | No log | 2.0 | 66 | 0.9240 |
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- | No log | 3.0 | 99 | 0.8648 |
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- | No log | 4.0 | 132 | 0.8438 |
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- | No log | 5.0 | 165 | 0.8455 |
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- | No log | 6.0 | 198 | 0.8540 |
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- | No log | 7.0 | 231 | 0.8791 |
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- | No log | 8.0 | 264 | 0.8509 |
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- | No log | 9.0 | 297 | 0.9104 |
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- | No log | 10.0 | 330 | 0.9554 |
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- | No log | 11.0 | 363 | 0.9345 |
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- | No log | 12.0 | 396 | 0.9797 |
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- | No log | 13.0 | 429 | 0.9809 |
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- | No log | 14.0 | 462 | 1.0556 |
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- | No log | 15.0 | 495 | 1.1264 |
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- | 0.5004 | 16.0 | 528 | 1.1426 |
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- | 0.5004 | 17.0 | 561 | 1.2255 |
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- | 0.5004 | 18.0 | 594 | 1.2086 |
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- | 0.5004 | 19.0 | 627 | 1.2068 |
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- | 0.5004 | 20.0 | 660 | 1.2919 |
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- | 0.5004 | 21.0 | 693 | 1.3547 |
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- | 0.5004 | 22.0 | 726 | 1.3276 |
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- | 0.5004 | 23.0 | 759 | 1.3597 |
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- | 0.5004 | 24.0 | 792 | 1.4057 |
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- | 0.5004 | 25.0 | 825 | 1.4212 |
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- | 0.5004 | 26.0 | 858 | 1.5188 |
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- | 0.5004 | 27.0 | 891 | 1.5569 |
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- | 0.5004 | 28.0 | 924 | 1.5158 |
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- | 0.5004 | 29.0 | 957 | 1.5191 |
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- | 0.5004 | 30.0 | 990 | 1.5202 |
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- | 0.0793 | 31.0 | 1023 | 1.6140 |
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- | 0.0793 | 32.0 | 1056 | 1.6112 |
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- | 0.0793 | 33.0 | 1089 | 1.5900 |
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- | 0.0793 | 34.0 | 1122 | 1.6162 |
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- | 0.0793 | 35.0 | 1155 | 1.6261 |
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- | 0.0793 | 36.0 | 1188 | 1.6229 |
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- | 0.0793 | 37.0 | 1221 | 1.7149 |
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- | 0.0793 | 38.0 | 1254 | 1.7149 |
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- | 0.0793 | 39.0 | 1287 | 1.7502 |
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- | 0.0793 | 40.0 | 1320 | 1.7334 |
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- | 0.0793 | 41.0 | 1353 | 1.7409 |
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- | 0.0793 | 42.0 | 1386 | 1.7161 |
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- | 0.0793 | 43.0 | 1419 | 1.7235 |
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- | 0.0793 | 44.0 | 1452 | 1.7554 |
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- | 0.0793 | 45.0 | 1485 | 1.7640 |
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- | 0.0263 | 46.0 | 1518 | 1.7779 |
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- | 0.0263 | 47.0 | 1551 | 1.7784 |
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- | 0.0263 | 48.0 | 1584 | 1.7979 |
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- | 0.0263 | 49.0 | 1617 | 1.8056 |
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- | 0.0263 | 50.0 | 1650 | 1.8071 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7289
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 33 | 0.9448 |
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+ | No log | 2.0 | 66 | 0.8057 |
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+ | No log | 3.0 | 99 | 0.7425 |
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+ | No log | 4.0 | 132 | 0.7366 |
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+ | No log | 5.0 | 165 | 0.7197 |
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+ | No log | 6.0 | 198 | 0.7111 |
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+ | No log | 7.0 | 231 | 0.6990 |
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+ | No log | 8.0 | 264 | 0.7347 |
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+ | No log | 9.0 | 297 | 0.7234 |
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+ | No log | 10.0 | 330 | 0.7289 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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