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Shakhovak
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flan-t5-large-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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0ab8038
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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-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0850
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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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- | 1.4895 | 0.32 | 200 | 0.2429 |
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- | 0.2592 | 0.63 | 400 | 0.1663 |
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- | 0.1851 | 0.95 | 600 | 0.1396 |
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- | 0.136 | 1.26 | 800 | 0.1303 |
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- | 0.1133 | 1.58 | 1000 | 0.1070 |
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- | 0.1048 | 1.9 | 1200 | 0.0954 |
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- | 0.0869 | 2.21 | 1400 | 0.0959 |
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- | 0.0652 | 2.53 | 1600 | 0.0951 |
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- | 0.0586 | 2.84 | 1800 | 0.0882 |
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- | 0.0548 | 3.16 | 2000 | 0.0859 |
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- | 0.0491 | 3.48 | 2200 | 0.0837 |
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- | 0.0378 | 3.79 | 2400 | 0.0850 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0761
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.4592 | 0.32 | 200 | 0.2723 |
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+ | 0.2422 | 0.63 | 400 | 0.1839 |
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+ | 0.1823 | 0.95 | 600 | 0.1460 |
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+ | 0.1348 | 1.26 | 800 | 0.1322 |
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+ | 0.1181 | 1.58 | 1000 | 0.1089 |
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+ | 0.1047 | 1.9 | 1200 | 0.1064 |
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+ | 0.0835 | 2.21 | 1400 | 0.0928 |
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+ | 0.0685 | 2.53 | 1600 | 0.0909 |
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+ | 0.0614 | 2.84 | 1800 | 0.0873 |
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+ | 0.0518 | 3.16 | 2000 | 0.0731 |
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+ | 0.0418 | 3.48 | 2200 | 0.0733 |
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+ | 0.0449 | 3.79 | 2400 | 0.0761 |
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  ### Framework versions
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