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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9747
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- - Rouge1: 0.4128
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- - Rouge2: 0.2269
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- - Rougel: 0.3823
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- - Rougelsum: 0.3837
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- - Bleu: 0.1804
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  ## Model description
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@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
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- | 0.771 | 1.0 | 6000 | 1.3605 | 0.4130 | 0.2293 | 0.3840 | 0.3851 | 0.1819 |
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- | 0.4904 | 2.0 | 12000 | 1.5539 | 0.4183 | 0.2330 | 0.3885 | 0.3897 | 0.1837 |
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- | 0.3432 | 3.0 | 18000 | 1.7444 | 0.4093 | 0.2249 | 0.3797 | 0.3810 | 0.1768 |
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- | 0.2608 | 4.0 | 24000 | 1.8966 | 0.4149 | 0.2270 | 0.3834 | 0.3848 | 0.1805 |
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- | 0.2215 | 5.0 | 30000 | 1.9747 | 0.4128 | 0.2269 | 0.3823 | 0.3837 | 0.1804 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2262
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+ - Rouge1: 0.4339
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+ - Rouge2: 0.2405
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+ - Rougel: 0.4040
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+ - Rougelsum: 0.4051
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+ - Bleu: 0.1913
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
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+ | 1.413 | 1.0 | 4695 | 1.3393 | 0.4005 | 0.2102 | 0.3742 | 0.3750 | 0.1641 |
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+ | 1.2176 | 2.0 | 9390 | 1.2736 | 0.4212 | 0.2289 | 0.3924 | 0.3933 | 0.1809 |
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+ | 1.1113 | 3.0 | 14085 | 1.2329 | 0.4270 | 0.2343 | 0.3978 | 0.3990 | 0.1851 |
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+ | 1.028 | 4.0 | 18780 | 1.2241 | 0.4335 | 0.2383 | 0.4035 | 0.4045 | 0.1901 |
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+ | 0.9813 | 5.0 | 23475 | 1.2262 | 0.4339 | 0.2405 | 0.4040 | 0.4051 | 0.1913 |
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  ### Framework versions
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