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BlueWard
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bart-large-cnn-with-generate-finetune-indosum

Text2Text Generation
Transformers
PyTorch
bart
Generated from Trainer
Inference Endpoints
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  1. README.md +19 -10
  2. pytorch_model.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 [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3396
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- - Rouge1: 0.6999
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- - Rouge2: 0.6062
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- - Rougel: 0.6726
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- - Rougelsum: 0.6724
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- - Gen Len: 129.2541
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  ## Model description
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@@ -47,13 +47,22 @@ 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: 1
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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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- | 0.3435 | 1.0 | 4460 | 0.3396 | 0.6999 | 0.6062 | 0.6726 | 0.6724 | 129.2541 |
 
 
 
 
 
 
 
 
 
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0686
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+ - Rouge1: 0.8873
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+ - Rouge2: 0.8491
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+ - Rougel: 0.8815
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+ - Rougelsum: 0.8815
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+ - Gen Len: 128.9129
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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: 10
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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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+ | 0.2591 | 1.0 | 4460 | 0.2573 | 0.7218 | 0.6324 | 0.6969 | 0.6967 | 129.0612 |
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+ | 0.1657 | 2.0 | 8920 | 0.1600 | 0.7613 | 0.6815 | 0.7401 | 0.7401 | 128.9508 |
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+ | 0.0945 | 3.0 | 13380 | 0.1157 | 0.8001 | 0.7311 | 0.7837 | 0.7835 | 128.9105 |
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+ | 0.0508 | 4.0 | 17840 | 0.0976 | 0.8277 | 0.7704 | 0.8152 | 0.8152 | 129.0289 |
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+ | 0.0296 | 5.0 | 22300 | 0.0853 | 0.857 | 0.8087 | 0.8473 | 0.8471 | 128.9257 |
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+ | 0.0176 | 6.0 | 26760 | 0.0793 | 0.8702 | 0.8279 | 0.8632 | 0.8633 | 128.9113 |
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+ | 0.0112 | 7.0 | 31220 | 0.0605 | 0.8789 | 0.8377 | 0.872 | 0.8721 | 128.8637 |
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+ | 0.0074 | 8.0 | 35680 | 0.0597 | 0.88 | 0.84 | 0.8731 | 0.8732 | 128.9305 |
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+ | 0.005 | 9.0 | 40140 | 0.0658 | 0.8822 | 0.8433 | 0.8761 | 0.8761 | 128.949 |
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+ | 0.0036 | 10.0 | 44600 | 0.0686 | 0.8873 | 0.8491 | 0.8815 | 0.8815 | 128.9129 |
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  ### Framework versions
pytorch_model.bin CHANGED
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