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Shakhovak
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flan-t5-xl-absa-laptops

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  1. README.md +12 -12
  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: 0.1509
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  ## Model description
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@@ -46,17 +46,17 @@ 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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- | 3.9401 | 0.9 | 200 | 0.6396 |
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- | 0.5135 | 1.8 | 400 | 0.2636 |
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- | 0.3375 | 2.7 | 600 | 0.2177 |
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- | 0.2937 | 3.6 | 800 | 0.1907 |
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- | 0.2621 | 4.5 | 1000 | 0.1708 |
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- | 0.2388 | 5.41 | 1200 | 0.1678 |
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- | 0.2394 | 6.31 | 1400 | 0.1622 |
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- | 0.208 | 7.21 | 1600 | 0.1544 |
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- | 0.2085 | 8.11 | 1800 | 0.1562 |
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- | 0.2094 | 9.01 | 2000 | 0.1514 |
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- | 0.2002 | 9.91 | 2200 | 0.1509 |
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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: 0.1812
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.9772 | 0.9 | 200 | 0.7029 |
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+ | 0.5108 | 1.8 | 400 | 0.3043 |
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+ | 0.3323 | 2.7 | 600 | 0.2414 |
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+ | 0.2935 | 3.6 | 800 | 0.2193 |
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+ | 0.2529 | 4.5 | 1000 | 0.2077 |
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+ | 0.2374 | 5.41 | 1200 | 0.1988 |
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+ | 0.217 | 6.31 | 1400 | 0.1918 |
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+ | 0.2088 | 7.21 | 1600 | 0.1896 |
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+ | 0.2054 | 8.11 | 1800 | 0.1874 |
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+ | 0.1979 | 9.01 | 2000 | 0.1822 |
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+ | 0.1963 | 9.91 | 2200 | 0.1812 |
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  ### Framework versions
adapter_model.bin CHANGED
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