| license: apache-2.0 | |
| base_model: google/flan-t5-small | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: flan-t5-small_twon-debug-generative-agent | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # flan-t5-small_twon-debug-generative-agent | |
| This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 3.8511 | |
| - Rouge1: 9.4574 | |
| - Rouge2: 3.2143 | |
| - Rougel: 8.6333 | |
| - Rougelsum: 8.8052 | |
| - Gen Len: 18.99 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 4e-05 | |
| - train_batch_size: 24 | |
| - eval_batch_size: 24 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | 4.2488 | 1.19 | 100 | 3.9027 | 9.2555 | 2.9689 | 8.4655 | 8.5977 | 18.988 | | |
| | 4.0882 | 2.38 | 200 | 3.8511 | 9.4574 | 3.2143 | 8.6333 | 8.8052 | 18.99 | | |
| | 4.021 | 3.57 | 300 | 3.8275 | 9.132 | 3.1204 | 8.3109 | 8.5109 | 18.994 | | |
| | 4.0126 | 4.76 | 400 | 3.8172 | 9.4354 | 3.1824 | 8.5889 | 8.7927 | 18.996 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.14.3 | |
| - Tokenizers 0.13.3 | |