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Shakhovak
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flan-t5-base-absa-multitask-laptops

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
Shakhovak commited on
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End of training

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Files changed (3) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. 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: 0.1533
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  ## Model description
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@@ -47,18 +47,18 @@ 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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- | 1.9996 | 0.32 | 200 | 0.3735 |
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- | 0.3782 | 0.63 | 400 | 0.2537 |
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- | 0.2882 | 0.95 | 600 | 0.2085 |
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- | 0.2371 | 1.26 | 800 | 0.1756 |
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- | 0.2021 | 1.58 | 1000 | 0.1709 |
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- | 0.1862 | 1.9 | 1200 | 0.1610 |
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- | 0.1523 | 2.21 | 1400 | 0.1597 |
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- | 0.1368 | 2.53 | 1600 | 0.1584 |
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- | 0.1473 | 2.84 | 1800 | 0.1546 |
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- | 0.134 | 3.16 | 2000 | 0.1476 |
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- | 0.1192 | 3.48 | 2200 | 0.1504 |
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- | 0.119 | 3.79 | 2400 | 0.1533 |
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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: 0.1195
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.0172 | 0.32 | 200 | 0.3459 |
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+ | 0.3732 | 0.63 | 400 | 0.2239 |
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+ | 0.2994 | 0.95 | 600 | 0.1915 |
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+ | 0.2253 | 1.26 | 800 | 0.1658 |
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+ | 0.1893 | 1.58 | 1000 | 0.1572 |
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+ | 0.1885 | 1.9 | 1200 | 0.1492 |
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+ | 0.1613 | 2.21 | 1400 | 0.1441 |
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+ | 0.1484 | 2.53 | 1600 | 0.1353 |
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+ | 0.1364 | 2.84 | 1800 | 0.1266 |
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+ | 0.1317 | 3.16 | 2000 | 0.1265 |
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+ | 0.1205 | 3.48 | 2200 | 0.1201 |
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+ | 0.116 | 3.79 | 2400 | 0.1195 |
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  ### Framework versions
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