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pegasus-large-finetuned-cnn_dailymail

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  2. model.safetensors +1 -1
  3. runs/May07_01-02-18_DESKTOP-I570M0U/events.out.tfevents.1715032946.DESKTOP-I570M0U.722.0 +2 -2
README.md CHANGED
@@ -16,16 +16,17 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5155
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- - Rouge1: 53.2323
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- - Rouge2: 38.6836
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- - Rougel: 41.8756
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- - Rougelsum: 50.7526
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- - Bleu 1: 39.2946
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- - Bleu 2: 33.2337
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- - Bleu 3: 30.2125
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- - Meteor: 40.4525
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- - Compression rate: 1.4202
 
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  ## Model description
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@@ -50,18 +51,16 @@ The following hyperparameters were used during training:
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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: 6
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor | Compression rate |
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- |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:----------------:|
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- | 1.1676 | 1.0 | 5000 | 0.4626 | 58.2243 | 46.8729 | 49.6754 | 56.3425 | 45.8036 | 41.0494 | 38.8167 | 47.5864 | 1.3223 |
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- | 0.8474 | 2.0 | 10000 | 0.4951 | 51.7813 | 37.5081 | 40.999 | 49.3373 | 38.9702 | 32.8144 | 30.0222 | 39.7542 | 1.3725 |
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- | 0.7632 | 3.0 | 15000 | 0.4712 | 54.9872 | 41.6279 | 44.557 | 52.6927 | 42.0867 | 36.3443 | 33.5877 | 43.0071 | 1.3649 |
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- | 0.7009 | 4.0 | 20000 | 0.4875 | 54.5016 | 40.85 | 44.0557 | 52.0705 | 40.2939 | 34.6751 | 31.8994 | 41.8203 | 1.4397 |
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- | 0.6563 | 5.0 | 25000 | 0.5036 | 52.3997 | 37.6472 | 41.0743 | 49.8349 | 38.2882 | 32.1617 | 29.1582 | 39.4024 | 1.441 |
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- | 0.6274 | 6.0 | 30000 | 0.5155 | 53.2323 | 38.6836 | 41.8756 | 50.7526 | 39.2946 | 33.2337 | 30.2125 | 40.4525 | 1.4202 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8591
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+ - Rouge1: 47.5545
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+ - Rouge2: 24.7124
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+ - Rougel: 34.1029
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+ - Rougelsum: 44.0189
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+ - Bleu 1: 37.0636
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+ - Bleu 2: 25.5604
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+ - Bleu 3: 19.3415
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+ - Meteor: 38.0261
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+ - Lungime rezumat: 57.9183
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+ - Lungime original: 48.6393
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  ## Model description
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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 | Bleu 1 | Bleu 2 | Bleu 3 | Meteor | Lungime rezumat | Lungime original |
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+ |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:---------------:|:----------------:|
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+ | 0.9693 | 1.0 | 28660 | 0.8691 | 47.0692 | 24.3586 | 33.6526 | 43.4825 | 36.2858 | 24.9738 | 18.8926 | 37.8237 | 59.475 | 48.6393 |
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+ | 0.8248 | 2.0 | 57320 | 0.8598 | 46.751 | 24.0748 | 33.3009 | 43.1207 | 36.0845 | 24.7477 | 18.6962 | 37.8529 | 60.7557 | 48.6393 |
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+ | 0.7578 | 3.0 | 85980 | 0.8570 | 47.2636 | 24.4414 | 33.8604 | 43.6832 | 36.6893 | 25.2309 | 19.0981 | 38.0561 | 59.0953 | 48.6393 |
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+ | 0.7145 | 4.0 | 114640 | 0.8591 | 47.5545 | 24.7124 | 34.1029 | 44.0189 | 37.0636 | 25.5604 | 19.3415 | 38.0261 | 57.9183 | 48.6393 |
 
 
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  ### Framework versions
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