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---
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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: flan-t5-small-quaso-gen5
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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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# flan-t5-small-quaso-gen5
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5372
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- Rouge1: 0.3997
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- Rouge2: 0.1592
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- Rougel: 0.3248
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- Rougelsum: 0.3810
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- Gen Len: 42.046
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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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| 1.7045 | 1.0 | 34324 | 1.5575 | 0.3936 | 0.1547 | 0.3183 | 0.3749 | 42.0369 |
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| 1.6563 | 2.0 | 68648 | 1.5509 | 0.3975 | 0.1561 | 0.3225 | 0.3789 | 42.1242 |
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| 1.6622 | 3.0 | 102972 | 1.5440 | 0.3947 | 0.1575 | 0.3210 | 0.3763 | 41.7531 |
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| 1.638 | 4.0 | 137296 | 1.5393 | 0.3969 | 0.1575 | 0.3224 | 0.3785 | 41.8038 |
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| 1.6222 | 5.0 | 171620 | 1.5372 | 0.3997 | 0.1592 | 0.3248 | 0.3810 | 42.046 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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