anmolpreetsinghfj
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End of training
Browse files- README.md +13 -4
- model.safetensors +1 -1
- runs/May15_05-56-46_1c5f9f9b2d78/events.out.tfevents.1715752611.1c5f9f9b2d78.7257.5 +3 -0
- runs/May15_06-01-15_1c5f9f9b2d78/events.out.tfevents.1715752925.1c5f9f9b2d78.7257.6 +3 -0
- runs/May15_06-03-32_1c5f9f9b2d78/events.out.tfevents.1715753016.1c5f9f9b2d78.7257.7 +3 -0
- runs/May15_06-05-53_1c5f9f9b2d78/events.out.tfevents.1715753159.1c5f9f9b2d78.7257.8 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 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-
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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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.
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### Framework versions
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5768
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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-06
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.5847 | 1.0 | 78 | 0.6536 |
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| 0.6067 | 2.0 | 156 | 0.6077 |
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| 0.6014 | 3.0 | 234 | 0.5916 |
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| 0.5525 | 4.0 | 312 | 0.5843 |
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| 0.5465 | 5.0 | 390 | 0.5808 |
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| 0.6124 | 6.0 | 468 | 0.5787 |
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| 0.588 | 7.0 | 546 | 0.5774 |
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| 0.5782 | 8.0 | 624 | 0.5776 |
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| 0.5187 | 9.0 | 702 | 0.5771 |
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| 0.4999 | 10.0 | 780 | 0.5768 |
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### Framework versions
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model.safetensors
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training_args.bin
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