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  1. README.md +12 -14
  2. generation_config.json +0 -1
  3. model.safetensors +1 -1
  4. runs/Dec03_21-15-34_user/events.out.tfevents.1733240735.user.1394782.0 +2 -2
README.md CHANGED
@@ -15,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4039
 
 
 
 
 
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  ## Model description
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@@ -40,22 +45,15 @@ 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: 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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- | No log | 1.0 | 394 | 1.9051 |
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- | 3.4843 | 2.0 | 788 | 1.4999 |
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- | 1.8807 | 3.0 | 1182 | 1.4607 |
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- | 1.7485 | 4.0 | 1576 | 1.4434 |
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- | 1.7485 | 5.0 | 1970 | 1.4264 |
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- | 1.6669 | 6.0 | 2364 | 1.4211 |
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- | 1.6346 | 7.0 | 2758 | 1.4134 |
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- | 1.6131 | 8.0 | 3152 | 1.4101 |
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- | 1.6039 | 9.0 | 3546 | 1.4045 |
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- | 1.6039 | 10.0 | 3940 | 1.4039 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5497
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+ - Rouge Rouge1: 0.3896
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+ - Rouge Rouge2: 0.1402
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+ - Rouge Rougel: 0.227
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+ - Rouge Rougelsum: 0.2269
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+ - Gen Len: 392.0152
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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: 3
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge Rouge1 | Rouge Rouge2 | Rouge Rougel | Rouge Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:--------:|
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+ | No log | 1.0 | 394 | 1.9062 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 3.7289 | 2.0 | 788 | 1.5960 | 0.279 | 0.0991 | 0.1665 | 0.1662 | 320.4091 |
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+ | 2.0261 | 3.0 | 1182 | 1.5497 | 0.3896 | 0.1402 | 0.227 | 0.2269 | 392.0152 |
 
 
 
 
 
 
 
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  ### Framework versions
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