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Text2Text Generation
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  1. README.md +27 -11
  2. runs/Feb20_15-56-08_ubuntu/events.out.tfevents.1708419371.ubuntu.967.0 +2 -2
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) 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: 0.1321
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- - Rouge2: 0.0502
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- - Rougel: 0.1115
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- - Rougelsum: 0.111
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  - Gen Len: 19.0
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  ## Model description
@@ -47,17 +47,33 @@ 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: 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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- | 0.0 | 1.0 | 989 | nan | 0.1321 | 0.0502 | 0.1115 | 0.111 | 19.0 |
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- | 0.0 | 2.0 | 1978 | nan | 0.1321 | 0.0502 | 0.1115 | 0.111 | 19.0 |
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- | 0.0 | 3.0 | 2967 | nan | 0.1321 | 0.0502 | 0.1115 | 0.111 | 19.0 |
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- | 0.0 | 4.0 | 3956 | nan | 0.1321 | 0.0502 | 0.1115 | 0.111 | 19.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) 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: 0.1329
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+ - Rouge2: 0.0498
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+ - Rougel: 0.1105
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+ - Rougelsum: 0.1106
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  - Gen Len: 19.0
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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: 20
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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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+ | 0.0 | 1.0 | 989 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 2.0 | 1978 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 3.0 | 2967 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 4.0 | 3956 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 5.0 | 4945 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 6.0 | 5934 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 7.0 | 6923 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 8.0 | 7912 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 9.0 | 8901 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 10.0 | 9890 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 11.0 | 10879 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 12.0 | 11868 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 13.0 | 12857 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 14.0 | 13846 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 15.0 | 14835 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 16.0 | 15824 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 17.0 | 16813 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 18.0 | 17802 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 19.0 | 18791 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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+ | 0.0 | 20.0 | 19780 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 |
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  ### Framework versions
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