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hongjing0312
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my_awesome_opus_books_model

Text2Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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End of training

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  1. README.md +11 -13
  2. model.safetensors +1 -1
  3. runs/Dec21_09-02-04_WJHF67-129/events.out.tfevents.1703120525.WJHF67-129.13994.0 +2 -2
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2384
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- - Bleu: 0.4736
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- - Gen Len: 18.0826
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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: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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- |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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- | 2.9148 | 1.0 | 4674 | 2.5719 | 0.2155 | 18.2619 |
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- | 2.7067 | 2.0 | 9348 | 2.3872 | 0.3419 | 18.1173 |
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- | 2.5969 | 3.0 | 14022 | 2.2973 | 0.4065 | 18.101 |
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- | 2.5413 | 4.0 | 18696 | 2.2518 | 0.4603 | 18.0815 |
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- | 2.5223 | 5.0 | 23370 | 2.2384 | 0.4736 | 18.0826 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6475
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+ - Bleu: 0.1725
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+ - Gen Len: 18.2133
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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: 64
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+ - eval_batch_size: 64
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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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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | 3.2463 | 1.0 | 1169 | 2.8190 | 0.1363 | 18.3062 |
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+ | 3.0482 | 2.0 | 2338 | 2.6825 | 0.1606 | 18.2202 |
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+ | 2.9607 | 3.0 | 3507 | 2.6475 | 0.1725 | 18.2133 |
 
 
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  ### Framework versions
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