| | --- |
| | base_model: ybelkada/flan-t5-xl-sharded-bf16 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: flan-xl-gen2 |
| | 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-xl-gen2 |
| |
|
| | This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7134 |
| | - Rouge1: 32.8362 |
| | - Rouge2: 24.6174 |
| | - Rougel: 29.4825 |
| | - Rougelsum: 29.8057 |
| | - Gen Len: 10.8602 |
| |
|
| | ## 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: 3e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | | No log | 1.0 | 362 | 16.9256 | 19.0988 | 13.2345 | 16.7051 | 16.8227 | 14.5155 | |
| | | 21.9637 | 2.0 | 724 | 0.9058 | 25.6321 | 19.4333 | 22.9915 | 23.0319 | 12.2298 | |
| | | 1.1153 | 3.0 | 1086 | 0.8224 | 33.772 | 27.2536 | 30.9184 | 30.9024 | 9.3851 | |
| | | 1.1153 | 4.0 | 1448 | 0.7790 | 31.8945 | 24.0796 | 28.6922 | 28.9082 | 10.7081 | |
| | | 0.8196 | 5.0 | 1810 | 0.7526 | 32.0479 | 23.9638 | 28.7508 | 28.9928 | 10.9565 | |
| | | 0.768 | 6.0 | 2172 | 0.7372 | 32.4934 | 24.2711 | 29.1369 | 29.4352 | 10.9130 | |
| | | 0.7461 | 7.0 | 2534 | 0.7262 | 33.7013 | 25.5198 | 30.3086 | 30.6278 | 10.4938 | |
| | | 0.7461 | 8.0 | 2896 | 0.7187 | 33.2769 | 25.0711 | 29.8857 | 30.1898 | 10.6925 | |
| | | 0.7247 | 9.0 | 3258 | 0.7143 | 32.9304 | 24.7808 | 29.6111 | 29.9039 | 10.8075 | |
| | | 0.7282 | 10.0 | 3620 | 0.7134 | 32.8362 | 24.6174 | 29.4825 | 29.8057 | 10.8602 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.36.0.dev0 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| | |
