Jérôme Bau
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README.md
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---
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license: apache-2.0
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base_model: t5-small
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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-coding_instructions_2023_08_18__08_41
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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-coding_instructions_2023_08_18__08_41
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9209
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- Rouge1: 13.9516
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- Rouge2: 6.1527
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- Rougel: 13.1037
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- Rougelsum: 13.1244
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- Gen Len: 18.3077
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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: 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 | 5 | 2.6656 | 8.6104 | 3.1562 | 8.1185 | 8.1422 | 19.0 |
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| No log | 2.0 | 10 | 2.5149 | 9.7852 | 3.836 | 9.3185 | 9.3322 | 19.0 |
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| No log | 3.0 | 15 | 2.3683 | 13.1134 | 5.2015 | 12.1364 | 12.2677 | 19.0 |
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| No log | 4.0 | 20 | 2.2032 | 13.4182 | 5.1369 | 12.5255 | 12.6118 | 19.0 |
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| No log | 5.0 | 25 | 2.0986 | 13.6902 | 5.3556 | 12.7848 | 12.898 | 19.0 |
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| No log | 6.0 | 30 | 2.0232 | 12.7675 | 4.8786 | 11.9464 | 11.9539 | 18.3846 |
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| No log | 7.0 | 35 | 1.9857 | 13.9444 | 6.1527 | 13.0926 | 13.1171 | 18.5385 |
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| No log | 8.0 | 40 | 1.9526 | 13.9516 | 6.1527 | 13.1037 | 13.1244 | 18.5385 |
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| No log | 9.0 | 45 | 1.9303 | 13.9516 | 6.1527 | 13.1037 | 13.1244 | 18.3077 |
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| No log | 10.0 | 50 | 1.9209 | 13.9516 | 6.1527 | 13.1037 | 13.1244 | 18.3077 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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