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End of training

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Files changed (4) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. tokenizer.json +2 -14
  4. training_args.bin +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 0.4496
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,12 +32,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5427
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- - Rouge1: 0.4496
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- - Rouge2: 0.2191
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- - Rougel: 0.3787
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- - Rougelsum: 0.3788
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- - Gen Len: 16.8863
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  ## Model description
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@@ -56,9 +56,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.001
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -69,9 +69,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | 0.6546 | 1.0 | 921 | 0.5639 | 0.4347 | 0.2026 | 0.3638 | 0.3641 | 17.077 |
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- | 0.5514 | 2.0 | 1842 | 0.5464 | 0.4414 | 0.2121 | 0.3735 | 0.3735 | 16.8105 |
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- | 0.4867 | 3.0 | 2763 | 0.5427 | 0.4496 | 0.2191 | 0.3787 | 0.3788 | 16.8863 |
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  ### Framework versions
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 0.0982
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 8.2125
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+ - Rouge1: 0.0982
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+ - Rouge2: 0.0087
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+ - Rougel: 0.0982
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+ - Rougelsum: 0.0972
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+ - Gen Len: 19.0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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  - seed: 42
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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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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 1 | 8.2709 | 0.0982 | 0.0087 | 0.0982 | 0.0972 | 19.0 |
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+ | No log | 2.0 | 2 | 8.2709 | 0.0982 | 0.0087 | 0.0982 | 0.0972 | 19.0 |
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+ | No log | 3.0 | 3 | 8.2125 | 0.0982 | 0.0087 | 0.0982 | 0.0972 | 19.0 |
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  ### Framework versions
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