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kikaigakushuu
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Question_model

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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  1. README.md +12 -13
  2. model.safetensors +1 -1
  3. runs/Nov26_05-45-17_536ec949f853/events.out.tfevents.1732599948.536ec949f853.202.0 +2 -2
README.md CHANGED
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [retrieva-jp/t5-base-medium](https://huggingface.co/retrieva-jp/t5-base-medium) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3897
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- - Rouge1: 0.084
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- - Rouge2: 0.0231
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- - Rougel: 0.0841
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- - Rougelsum: 0.084
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- - Gen Len: 16.1261
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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: 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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- | 1.8553 | 1.0 | 3929 | 1.5122 | 0.0843 | 0.0234 | 0.0843 | 0.0842 | 16.4606 |
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- | 1.667 | 2.0 | 7858 | 1.4251 | 0.0853 | 0.0244 | 0.0854 | 0.085 | 16.2274 |
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- | 1.5854 | 3.0 | 11787 | 1.3959 | 0.0814 | 0.0222 | 0.0816 | 0.0814 | 16.0416 |
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- | 1.56 | 4.0 | 15716 | 1.3897 | 0.084 | 0.0231 | 0.0841 | 0.084 | 16.1261 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [retrieva-jp/t5-base-medium](https://huggingface.co/retrieva-jp/t5-base-medium) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4010
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+ - Rouge1: 0.0886
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+ - Rouge2: 0.024
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+ - Rougel: 0.0884
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+ - Rougelsum: 0.0884
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+ - Gen Len: 16.0081
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 3
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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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+ | 1.7738 | 1.0 | 7858 | 1.4773 | 0.0797 | 0.0215 | 0.0793 | 0.0797 | 16.2695 |
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+ | 1.6313 | 2.0 | 15716 | 1.4103 | 0.0832 | 0.0241 | 0.0832 | 0.083 | 16.0633 |
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+ | 1.6204 | 3.0 | 23574 | 1.4010 | 0.0886 | 0.024 | 0.0884 | 0.0884 | 16.0081 |
 
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  ### Framework versions
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