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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: t5-small-finetuned-vehidefe
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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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# t5-small-finetuned-vehidefe
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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: 1.2321
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- Rouge1: 0.5062
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- Rouge2: 0.129
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- Rougel: 0.4421
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- Rougelsum: 0.4549
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- Gen Len: 0.6333
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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: 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: 6
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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 | 27 | 6.3138 | 52.0293 | 34.0296 | 48.1309 | 48.2154 | 15.7417 |
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| No log | 2.0 | 54 | 2.5506 | 38.203 | 24.615 | 35.4364 | 35.5338 | 12.3 |
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| No log | 3.0 | 81 | 1.4362 | 9.2948 | 5.4495 | 8.4841 | 8.6202 | 4.4583 |
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| No log | 4.0 | 108 | 1.2562 | 2.9686 | 1.4036 | 2.6236 | 2.7085 | 1.8917 |
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| No log | 5.0 | 135 | 1.2336 | 0.9124 | 0.248 | 0.8012 | 0.8077 | 0.95 |
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| No log | 6.0 | 162 | 1.2321 | 0.5062 | 0.129 | 0.4421 | 0.4549 | 0.6333 |
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### Framework versions
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- Transformers 4.30.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.13.3
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