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End of training

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README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8535
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- - Rouge1: 0.0273
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- - Rouge2: 0.0
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- - Rougel: 0.0277
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- - Rougelsum: 0.0274
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  - Gen Len: 19.0
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  ## Model description
@@ -47,22 +47,17 @@ 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 395 | 3.4194 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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- | 4.9137 | 2.0 | 790 | 3.0496 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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- | 3.1919 | 3.0 | 1185 | 2.9381 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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- | 2.8961 | 4.0 | 1580 | 2.8875 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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- | 2.8961 | 5.0 | 1975 | 2.8487 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
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- | 2.72 | 6.0 | 2370 | 2.8328 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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- | 2.5695 | 7.0 | 2765 | 2.8332 | 0.0273 | 0.0 | 0.0277 | 0.0274 | 19.0 |
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- | 2.4644 | 8.0 | 3160 | 2.8412 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
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- | 2.3847 | 9.0 | 3555 | 2.8358 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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- | 2.3847 | 10.0 | 3950 | 2.8535 | 0.0273 | 0.0 | 0.0277 | 0.0274 | 19.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0004
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+ - Rouge1: 0.0606
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+ - Rouge2: 0.0075
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+ - Rougel: 0.0615
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+ - Rougelsum: 0.0611
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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: 5
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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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+ | No log | 1.0 | 395 | 2.2625 | 0.0346 | 0.0069 | 0.035 | 0.0352 | 18.9778 |
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+ | 3.319 | 2.0 | 790 | 2.1100 | 0.0419 | 0.0093 | 0.0428 | 0.0426 | 19.0 |
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+ | 2.2853 | 3.0 | 1185 | 2.0675 | 0.047 | 0.0061 | 0.0483 | 0.0481 | 19.0 |
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+ | 2.0122 | 4.0 | 1580 | 2.0005 | 0.0584 | 0.0095 | 0.0601 | 0.0599 | 19.0 |
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+ | 2.0122 | 5.0 | 1975 | 2.0004 | 0.0606 | 0.0075 | 0.0615 | 0.0611 | 19.0 |
 
 
 
 
 
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  ### Framework versions
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