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alayaran/bodo-t5-base-news-headline-ft

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  1. README.md +5 -8
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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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: 3.2674
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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: 18.72
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  ## Model description
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@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
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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: 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
@@ -52,11 +52,8 @@ The following hyperparameters were used during training:
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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 | 215 | 3.3588 | 0.0067 | 0.0 | 0.0067 | 0.0067 | 18.94 |
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- | No log | 2.0 | 430 | 3.3004 | 0.004 | 0.0 | 0.004 | 0.004 | 18.84 |
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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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training_args.bin CHANGED
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