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vishnun
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HintsGenerator

Text2Text Generation
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TensorBoard
t5
Generated from Trainer
text-generation-inference
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update model card README.md

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  1. README.md +16 -18
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  ---
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -11,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # HintsGenerator
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- This model is a fine-tuned version of [patrickvonplaten/t5-tiny-random](https://huggingface.co/patrickvonplaten/t5-tiny-random) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.7914
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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: 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: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 4.8644 | 1.0 | 4212 | 7.3992 |
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- | 4.2267 | 2.0 | 8424 | 6.8927 |
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- | 3.8213 | 3.0 | 12636 | 6.5816 |
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- | 3.5707 | 4.0 | 16848 | 6.3507 |
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- | 3.3617 | 5.0 | 21060 | 6.1117 |
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- | 3.2614 | 6.0 | 25272 | 5.9754 |
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- | 3.1676 | 7.0 | 29484 | 5.8835 |
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- | 3.1363 | 8.0 | 33696 | 5.8340 |
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- | 3.1046 | 9.0 | 37908 | 5.7960 |
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- | 3.1239 | 10.0 | 42120 | 5.7914 |
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  ### Framework versions
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- - Transformers 4.28.1
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- - Pytorch 2.0.0+cu118
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  - Datasets 2.12.0
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  - Tokenizers 0.13.3
 
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  ---
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+ license: apache-2.0
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # HintsGenerator
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1726
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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: 128
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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: 7
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.3501 | 1.0 | 527 | 2.3548 |
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+ | 2.6694 | 2.0 | 1054 | 2.2615 |
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+ | 2.5871 | 3.0 | 1581 | 2.2202 |
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+ | 2.5442 | 4.0 | 2108 | 2.1957 |
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+ | 2.5154 | 5.0 | 2635 | 2.1837 |
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+ | 2.4983 | 6.0 | 3162 | 2.1757 |
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+ | 2.4929 | 7.0 | 3689 | 2.1726 |
 
 
 
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  ### Framework versions
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+ - Transformers 4.30.0
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+ - Pytorch 2.0.1+cu118
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  - Datasets 2.12.0
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  - Tokenizers 0.13.3