End of training
Browse files- README.md +11 -12
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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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: 3.
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Rougelsum: 0.
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- Gen Len:
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## Model description
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- total_train_batch_size: 16
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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:
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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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| 1.2809 | 5.0 | 6785 | 3.7340 | 0.0359 | 0.0077 | 0.0357 | 0.0357 | 10.8384 |
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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: 3.6458
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- Rouge1: 0.1334
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- Rouge2: 0.1033
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- Rougel: 0.1296
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- Rougelsum: 0.1296
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- Gen Len: 15.4277
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## Model description
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- total_train_batch_size: 16
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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 | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 5.1916 | 1.0 | 1357 | 3.8497 | 0.1095 | 0.086 | 0.1067 | 0.1064 | 12.6442 |
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| 4.5138 | 2.0 | 2714 | 3.7329 | 0.1228 | 0.0959 | 0.1198 | 0.1195 | 14.4008 |
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| 4.3429 | 3.0 | 4071 | 3.6736 | 0.1291 | 0.1 | 0.1255 | 0.1255 | 15.0502 |
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| 4.3195 | 4.0 | 5428 | 3.6458 | 0.1334 | 0.1033 | 0.1296 | 0.1296 | 15.4277 |
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### Framework versions
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pytorch_model.bin
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training_args.bin
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