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Karzan
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walamakan-t5-base

Text2Text Generation
Transformers
PyTorch
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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Karzan commited on
Commit
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1 Parent(s): 82e8c0c

End of training

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  1. README.md +22 -12
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Karzan/ckb-t5-base](https://huggingface.co/Karzan/ckb-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.8637
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  - Bleu: 0.0
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  - Gen Len: 19.0
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@@ -45,22 +45,32 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
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- | No log | 1.0 | 87 | 4.3273 | 0.0 | 19.0 |
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- | No log | 1.99 | 174 | 4.1466 | 0.0 | 18.9807 |
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- | No log | 2.99 | 261 | 4.0477 | 0.0 | 18.955 |
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- | No log | 4.0 | 349 | 3.9853 | 0.0 | 19.0 |
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- | No log | 5.0 | 436 | 3.9426 | 0.0 | 19.0 |
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- | 4.321 | 5.99 | 523 | 3.9122 | 0.0 | 19.0 |
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- | 4.321 | 6.99 | 610 | 3.8894 | 0.0 | 19.0 |
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- | 4.321 | 8.0 | 698 | 3.8749 | 0.0 | 19.0 |
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- | 4.321 | 9.0 | 785 | 3.8672 | 0.0 | 19.0 |
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- | 4.321 | 9.97 | 870 | 3.8637 | 0.0 | 19.0 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Karzan/ckb-t5-base](https://huggingface.co/Karzan/ckb-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.5949
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  - Bleu: 0.0
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  - Gen Len: 19.0
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
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+ | No log | 1.0 | 87 | 3.8199 | 0.0 | 19.0 |
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+ | No log | 1.99 | 174 | 3.7846 | 0.0 | 19.0 |
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+ | No log | 2.99 | 261 | 3.7542 | 0.0 | 19.0 |
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+ | No log | 4.0 | 349 | 3.7276 | 0.0 | 19.0 |
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+ | No log | 5.0 | 436 | 3.7072 | 0.0 | 19.0 |
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+ | 3.789 | 5.99 | 523 | 3.6894 | 0.0 | 19.0 |
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+ | 3.789 | 6.99 | 610 | 3.6707 | 0.0 | 19.0 |
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+ | 3.789 | 8.0 | 698 | 3.6597 | 0.0 | 19.0 |
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+ | 3.789 | 9.0 | 785 | 3.6480 | 0.0 | 19.0 |
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+ | 3.789 | 9.99 | 872 | 3.6374 | 0.0 | 19.0 |
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+ | 3.789 | 10.99 | 959 | 3.6291 | 0.0 | 19.0 |
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+ | 3.6041 | 12.0 | 1047 | 3.6200 | 0.0 | 19.0 |
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+ | 3.6041 | 13.0 | 1134 | 3.6133 | 0.0 | 19.0 |
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+ | 3.6041 | 13.99 | 1221 | 3.6092 | 0.0 | 19.0 |
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+ | 3.6041 | 14.99 | 1308 | 3.6037 | 0.0 | 19.0 |
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+ | 3.6041 | 16.0 | 1396 | 3.6002 | 0.0 | 19.0 |
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+ | 3.6041 | 17.0 | 1483 | 3.5988 | 0.0 | 19.0 |
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+ | 3.5111 | 17.99 | 1570 | 3.5962 | 0.0 | 19.0 |
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+ | 3.5111 | 18.99 | 1657 | 3.5952 | 0.0 | 19.0 |
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+ | 3.5111 | 19.94 | 1740 | 3.5949 | 0.0 | 19.0 |
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  ### Framework versions
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