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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-large |
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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-large-cars-descriptions |
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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-large-cars-descriptions |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7687 |
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- Rouge1: 19.5278 |
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- Rouge2: 13.4042 |
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- Rougel: 17.2713 |
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- Rougelsum: 18.2289 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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 | 28 | 0.8985 | 20.106 | 13.8185 | 17.5397 | 19.1007 | 19.0 | |
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| No log | 2.0 | 56 | 0.8444 | 19.963 | 13.2848 | 17.4604 | 18.8592 | 19.0 | |
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| No log | 3.0 | 84 | 0.8163 | 19.9916 | 13.9678 | 17.8614 | 19.0133 | 19.0 | |
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| No log | 4.0 | 112 | 0.7918 | 19.8144 | 12.9257 | 17.5265 | 18.6706 | 19.0 | |
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| No log | 5.0 | 140 | 0.7859 | 19.6936 | 13.9027 | 17.548 | 18.4906 | 19.0 | |
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| No log | 6.0 | 168 | 0.7796 | 19.4132 | 13.4927 | 17.3465 | 18.1291 | 19.0 | |
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| No log | 7.0 | 196 | 0.7732 | 19.7803 | 13.3453 | 17.5581 | 18.4902 | 19.0 | |
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| No log | 8.0 | 224 | 0.7724 | 19.2412 | 12.4472 | 16.8241 | 17.8911 | 19.0 | |
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| No log | 9.0 | 252 | 0.7687 | 19.5278 | 13.4042 | 17.2713 | 18.2289 | 19.0 | |
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| No log | 10.0 | 280 | 0.7691 | 19.5748 | 13.3162 | 17.5093 | 18.4578 | 19.0 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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