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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 |
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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 |
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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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- Gen Len: 100.0179 |
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- Loss: 1.7264 |
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- Rouge1: 45.7249 |
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- Rouge2: 19.5118 |
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- Rougel: 33.0194 |
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- Rougelsum: 42.7326 |
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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: 0.0001 |
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- train_batch_size: 14 |
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- eval_batch_size: 14 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 56 |
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- total_eval_batch_size: 56 |
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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 | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| No log | 1.0 | 302 | 106.2758 | 1.7235 | 44.3127 | 18.5321 | 31.8618 | 41.1286 | |
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| 1.8444 | 2.0 | 604 | 98.7378 | 1.7037 | 44.6191 | 18.529 | 32.4108 | 41.5764 | |
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| 1.8444 | 3.0 | 906 | 100.9276 | 1.7065 | 45.2044 | 19.0224 | 32.7758 | 42.1475 | |
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| 1.6046 | 4.0 | 1208 | 97.4516 | 1.7114 | 45.5049 | 19.1992 | 32.905 | 42.5556 | |
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| 1.565 | 5.0 | 1510 | 100.0179 | 1.7264 | 45.7249 | 19.5118 | 33.0194 | 42.7326 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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