alayaran/bodo-t5-base-news-headline-ft
Browse files- README.md +5 -8
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [alayaran/bodo-t5-base](https://huggingface.co/alayaran/bodo-t5-base) 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: 0.004
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- Rouge2: 0.0
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- Rougel: 0.004
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- Rougelsum: 0.004
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- Gen Len: 18.
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## Model description
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- learning_rate: 2e-05
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- train_batch_size: 12
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- eval_batch_size: 12
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- seed:
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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 Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 3.2645 | 3.0 | 645 | 3.2840 | 0.0 | 0.0 | 0.0 | 0.0 | 18.58 |
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| 3.2645 | 4.0 | 860 | 3.2730 | 0.004 | 0.0 | 0.004 | 0.004 | 18.7 |
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| 3.0357 | 5.0 | 1075 | 3.2674 | 0.004 | 0.0 | 0.004 | 0.004 | 18.72 |
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### Framework versions
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This model is a fine-tuned version of [alayaran/bodo-t5-base](https://huggingface.co/alayaran/bodo-t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2069
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- Rouge1: 0.004
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- Rouge2: 0.0
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- Rougel: 0.004
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- Rougelsum: 0.004
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- Gen Len: 18.86
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## Model description
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- learning_rate: 2e-05
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- train_batch_size: 12
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- eval_batch_size: 12
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- seed: 0
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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 Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 2.7919 | 2.33 | 500 | 3.2179 | 0.004 | 0.0 | 0.004 | 0.004 | 18.86 |
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| 2.7924 | 4.65 | 1000 | 3.2069 | 0.004 | 0.0 | 0.004 | 0.004 | 18.86 |
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### Framework versions
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pytorch_model.bin
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training_args.bin
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