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update model card README.md
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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-model-1-feedback-0611-4e
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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-model-1-feedback-0611-4e
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This model is a fine-tuned version of [theojolliffe/T5-model-1-feedback-1109](https://huggingface.co/theojolliffe/T5-model-1-feedback-1109) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1221
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- Rouge1: 93.9996
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- Rouge2: 89.632
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- Rougel: 93.4347
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- Rougelsum: 93.4442
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- Gen Len: 15.0185
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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: 2
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- eval_batch_size: 2
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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: 4
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- mixed_precision_training: Native AMP
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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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| 0.2124 | 1.0 | 2571 | 0.1594 | 93.667 | 89.1053 | 93.052 | 93.0963 | 15.1218 |
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| 0.1531 | 2.0 | 5142 | 0.1413 | 94.2879 | 89.9026 | 93.6752 | 93.7059 | 15.0332 |
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| 0.1347 | 3.0 | 7713 | 0.1263 | 94.2554 | 90.1846 | 93.726 | 93.7635 | 15.0369 |
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| 0.142 | 4.0 | 10284 | 0.1221 | 93.9996 | 89.632 | 93.4347 | 93.4442 | 15.0185 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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