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flan-t5-xl-absa-rest

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  1. README.md +14 -14
  2. adapter_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1658
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  ## Model description
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@@ -46,19 +46,19 @@ 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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- | 3.6689 | 0.9 | 200 | 0.8087 |
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- | 0.5615 | 1.8 | 400 | 0.2540 |
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- | 0.325 | 2.7 | 600 | 0.2220 |
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- | 0.2854 | 3.6 | 800 | 0.2019 |
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- | 0.2554 | 4.5 | 1000 | 0.1835 |
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- | 0.2341 | 5.41 | 1200 | 0.1783 |
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- | 0.2092 | 6.31 | 1400 | 0.1745 |
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- | 0.2091 | 7.21 | 1600 | 0.1675 |
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- | 0.2038 | 8.11 | 1800 | 0.1685 |
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- | 0.1906 | 9.01 | 2000 | 0.1668 |
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- | 0.1848 | 9.91 | 2200 | 0.1649 |
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- | 0.1818 | 10.81 | 2400 | 0.1654 |
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- | 0.1808 | 11.71 | 2600 | 0.1658 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1480
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.6478 | 0.9 | 200 | 0.9703 |
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+ | 0.5623 | 1.8 | 400 | 0.2571 |
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+ | 0.3339 | 2.7 | 600 | 0.2022 |
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+ | 0.2858 | 3.6 | 800 | 0.1855 |
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+ | 0.2566 | 4.5 | 1000 | 0.1839 |
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+ | 0.2327 | 5.41 | 1200 | 0.1727 |
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+ | 0.2158 | 6.31 | 1400 | 0.1580 |
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+ | 0.2133 | 7.21 | 1600 | 0.1506 |
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+ | 0.194 | 8.11 | 1800 | 0.1547 |
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+ | 0.1933 | 9.01 | 2000 | 0.1496 |
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+ | 0.1898 | 9.91 | 2200 | 0.1491 |
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+ | 0.1823 | 10.81 | 2400 | 0.1499 |
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+ | 0.1725 | 11.71 | 2600 | 0.1480 |
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  ### Framework versions
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