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mHossain
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en_bn_summarize_v1

Text2Text Generation
Transformers
PyTorch
mt5
Generated from Trainer
Inference Endpoints
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mHossain commited on
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1 Parent(s): f9ff25e

End of training

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  1. README.md +13 -8
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ 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: 3.3700
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  - Rouge1: 0.0
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  - Rouge2: 0.0
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  - Rougel: 0.0
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  - Rougelsum: 0.0
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- - Gen Len: 15.9689
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  ## Model description
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@@ -48,17 +48,22 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 5000
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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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- | 27.0618 | 1.0 | 615 | 20.0707 | 0.0 | 0.0 | 0.0 | 0.0 | 5.4969 |
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- | 22.8019 | 2.0 | 1230 | 13.1037 | 0.0 | 0.0 | 0.0 | 0.0 | 6.8199 |
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- | 16.267 | 3.0 | 1845 | 4.3955 | 0.0 | 0.0 | 0.0 | 0.0 | 18.3913 |
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- | 8.4004 | 4.0 | 2460 | 3.6197 | 0.0 | 0.0 | 0.0 | 0.0 | 11.1118 |
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- | 4.78 | 5.0 | 3075 | 3.3700 | 0.0 | 0.0 | 0.0 | 0.0 | 15.9689 |
 
 
 
 
 
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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: 2.9948
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  - Rouge1: 0.0
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  - Rouge2: 0.0
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  - Rougel: 0.0
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  - Rougelsum: 0.0
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+ - Gen Len: 18.323
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 5000
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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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+ | 27.0008 | 1.0 | 615 | 19.6292 | 0.0 | 0.0 | 0.0 | 0.0 | 5.5342 |
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+ | 22.3588 | 2.0 | 1230 | 12.9038 | 0.0 | 0.0 | 0.0 | 0.0 | 6.6335 |
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+ | 16.0103 | 3.0 | 1845 | 4.3199 | 0.0 | 0.0 | 0.0 | 0.0 | 18.3851 |
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+ | 8.0443 | 4.0 | 2460 | 3.6049 | 0.0 | 0.0 | 0.0 | 0.0 | 12.6025 |
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+ | 4.7815 | 5.0 | 3075 | 3.3718 | 0.0 | 0.0 | 0.0 | 0.0 | 16.5839 |
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+ | 4.5186 | 6.0 | 3690 | 3.2383 | 0.0 | 0.0 | 0.0 | 0.0 | 17.3602 |
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+ | 4.345 | 7.0 | 4305 | 3.1175 | 0.0 | 0.0 | 0.0 | 0.0 | 18.2236 |
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+ | 4.1762 | 8.0 | 4920 | 3.0548 | 0.0 | 0.0 | 0.0 | 0.0 | 18.0373 |
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+ | 3.9419 | 9.0 | 5535 | 3.0028 | 0.0 | 0.0 | 0.0 | 0.0 | 18.354 |
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+ | 3.8654 | 10.0 | 6150 | 2.9948 | 0.0 | 0.0 | 0.0 | 0.0 | 18.323 |
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  ### Framework versions
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