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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: qa_references_all
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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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# qa_references_all
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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: 4.0348
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- Rouge1: 0.1188
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- Rouge2: 0.0107
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- Rougel: 0.0976
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- Rougelsum: 0.098
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- Gen Len: 19.0
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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: 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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| No log | 1.0 | 357 | 6.1510 | 0.0604 | 0.0063 | 0.0548 | 0.0546 | 18.8222 |
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| 12.6296 | 2.0 | 714 | 4.1645 | 0.1128 | 0.0106 | 0.0986 | 0.0984 | 19.0 |
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| 5.7722 | 3.0 | 1071 | 4.0653 | 0.1261 | 0.0125 | 0.1054 | 0.1055 | 19.0 |
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| 5.7722 | 4.0 | 1428 | 4.0452 | 0.1219 | 0.0109 | 0.0991 | 0.0993 | 19.0 |
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| 5.3698 | 5.0 | 1785 | 4.0348 | 0.1188 | 0.0107 | 0.0976 | 0.098 | 19.0 |
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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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