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README.md
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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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metrics:
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- rouge
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model-index:
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- name: question-context-random-to10-p
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# question-context-random-to10-p
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.7664
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- Rouge1: 0.0054
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- Rouge2: 0.0
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- Rougel: 0.0054
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- Rougelsum: 0.0054
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- Gen Len: 12.3333
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 1
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- eval_batch_size: 1
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 43 | 16.1624 | 0.0054 | 0.0019 | 0.0054 | 0.0054 | 4.2667 |
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| No log | 2.0 | 86 | 13.0632 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 4.4667 |
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| No log | 3.0 | 129 | 11.7471 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 5.4667 |
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| No log | 4.0 | 172 | 9.8950 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 6.2667 |
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| No log | 5.0 | 215 | 9.2587 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 7.7333 |
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| No log | 6.0 | 258 | 8.3778 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 8.0 |
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| No log | 7.0 | 301 | 8.9698 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 10.1333 |
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| No log | 8.0 | 344 | 8.9596 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 10.2667 |
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| No log | 9.0 | 387 | 8.7883 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 11.4667 |
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| No log | 10.0 | 430 | 8.7664 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 12.3333 |
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### Framework versions
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- Transformers 4.28.0
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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
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