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End of training

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  1. README.md +27 -2
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +1 -6
  4. training_args.bin +1 -1
README.md CHANGED
@@ -2,6 +2,8 @@
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  base_model: Karzan/walamakan-t5-base
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: walamakan-t5-base
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  results: []
@@ -13,6 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # walamakan-t5-base
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  This model is a fine-tuned version of [Karzan/walamakan-t5-base](https://huggingface.co/Karzan/walamakan-t5-base) on an unknown dataset.
 
 
 
 
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  ## Model description
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@@ -39,13 +45,32 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 128
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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: 1
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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 | 0.96 | 21 | 1.3691 | 0.0 | 19.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  base_model: Karzan/walamakan-t5-base
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - bleu
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  model-index:
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  - name: walamakan-t5-base
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  results: []
 
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  # walamakan-t5-base
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  This model is a fine-tuned version of [Karzan/walamakan-t5-base](https://huggingface.co/Karzan/walamakan-t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3291
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+ - Bleu: 0.0
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+ - Gen Len: 19.0
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  ## Model description
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  - total_train_batch_size: 128
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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 | 0.96 | 21 | 1.3668 | 0.0 | 19.0 |
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+ | No log | 1.97 | 43 | 1.3613 | 0.0 | 19.0 |
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+ | No log | 2.98 | 65 | 1.3530 | 0.0 | 19.0 |
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+ | No log | 3.99 | 87 | 1.3503 | 0.0 | 19.0 |
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+ | No log | 5.0 | 109 | 1.3476 | 0.0 | 19.0 |
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+ | No log | 5.96 | 130 | 1.3429 | 0.0 | 19.0 |
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+ | No log | 6.97 | 152 | 1.3415 | 0.0 | 19.0 |
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+ | No log | 7.98 | 174 | 1.3408 | 0.0 | 19.0 |
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+ | No log | 8.99 | 196 | 1.3382 | 0.0 | 19.0 |
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+ | No log | 9.99 | 218 | 1.3387 | 0.0 | 19.0 |
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+ | No log | 10.96 | 239 | 1.3301 | 0.0 | 19.0 |
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+ | No log | 11.97 | 261 | 1.3344 | 0.0 | 19.0 |
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+ | No log | 12.97 | 283 | 1.3323 | 0.0 | 19.0 |
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+ | No log | 13.98 | 305 | 1.3312 | 0.0 | 19.0 |
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+ | No log | 14.99 | 327 | 1.3329 | 0.0 | 19.0 |
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+ | No log | 16.0 | 349 | 1.3323 | 0.0 | 19.0 |
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+ | No log | 16.96 | 370 | 1.3289 | 0.0 | 19.0 |
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+ | No log | 17.97 | 392 | 1.3291 | 0.0 | 19.0 |
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+ | No log | 18.98 | 414 | 1.3289 | 0.0 | 19.0 |
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+ | No log | 19.26 | 420 | 1.3291 | 0.0 | 19.0 |
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  ### Framework versions
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