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Training complete!

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  1. README.md +4 -4
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4844
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  ## Model description
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@@ -40,7 +40,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - gradient_accumulation_steps: 16
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  - total_train_batch_size: 16
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- - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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  - num_epochs: 1
@@ -49,12 +49,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.6554 | 0.5430 | 500 | 1.4844 |
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  ### Framework versions
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  - Transformers 4.55.2
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- - Pytorch 2.6.0+cu124
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  - Datasets 4.0.0
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  - Tokenizers 0.21.4
 
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  This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4810
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  ## Model description
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  - seed: 42
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  - gradient_accumulation_steps: 16
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  - total_train_batch_size: 16
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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  - num_epochs: 1
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.6759 | 0.5430 | 500 | 1.4810 |
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  ### Framework versions
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  - Transformers 4.55.2
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+ - Pytorch 2.8.0+cu126
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  - Datasets 4.0.0
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  - Tokenizers 0.21.4