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End of training

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  1. README.md +11 -12
  2. model.safetensors +1 -1
  3. tokenizer.json +6 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ 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-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: nan
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- - Rouge1: 0.1732
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- - Rouge2: 0.056
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- - Rougel: 0.1193
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- - Rougelsum: 0.1195
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- - Gen Len: 42.3387
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  ## Model description
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@@ -41,23 +41,22 @@ 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: 0.002
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  - train_batch_size: 15
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  - eval_batch_size: 15
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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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  - num_epochs: 4
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- - mixed_precision_training: Native AMP
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  ### Training results
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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 | 66 | nan | 0.1732 | 0.056 | 0.1193 | 0.1195 | 42.3387 |
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- | No log | 2.0 | 132 | nan | 0.1732 | 0.056 | 0.1193 | 0.1195 | 42.3387 |
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- | No log | 3.0 | 198 | nan | 0.1732 | 0.056 | 0.1193 | 0.1195 | 42.3387 |
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- | No log | 4.0 | 264 | nan | 0.1732 | 0.056 | 0.1193 | 0.1195 | 42.3387 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1628
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+ - Rouge1: 0.402
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+ - Rouge2: 0.162
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+ - Rougel: 0.286
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+ - Rougelsum: 0.2864
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+ - Gen Len: 99.9879
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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: 2e-05
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  - train_batch_size: 15
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  - eval_batch_size: 15
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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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  - num_epochs: 4
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 2.7337 | 1.0 | 66 | 2.2892 | 0.32 | 0.1024 | 0.2173 | 0.2179 | 89.6048 |
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+ | 2.5608 | 2.0 | 132 | 2.1977 | 0.376 | 0.1413 | 0.2618 | 0.262 | 97.7863 |
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+ | 2.5009 | 3.0 | 198 | 2.1694 | 0.4009 | 0.1615 | 0.2846 | 0.285 | 99.9194 |
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+ | 2.4203 | 4.0 | 264 | 2.1628 | 0.402 | 0.162 | 0.286 | 0.2864 | 99.9879 |
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  ### Framework versions
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