| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: flan-t5-base-gen-chat |
| 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. --> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/greatakela/gen_chatbot_models/runs/vm7l59iq) |
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/greatakela/gen_chatbot_models/runs/pzbcxrpy) |
| # flan-t5-base-gen-chat |
|
|
| This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.2310 |
| - Rouge 1: 9.4633 |
| - Rouge 2: 1.039 |
| - Rouge L: 8.7585 |
| - Avg Len: 12.3194 |
| - Bertscore Prec: 0.8624 |
| - Bertscore Rec: 0.8561 |
| - Bertscore F1: 0.8589 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge 1 | Rouge 2 | Rouge L | Avg Len | Bertscore Prec | Bertscore Rec | Bertscore F1 | |
| |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:--------------:|:-------------:|:------------:| |
| | 3.7376 | 0.5848 | 200 | 3.4194 | 7.4287 | 0.8472 | 6.9898 | 9.809 | 0.8633 | 0.8536 | 0.8581 | |
| | 3.4588 | 1.1696 | 400 | 3.3339 | 7.1926 | 0.8083 | 6.7158 | 9.6285 | 0.867 | 0.8546 | 0.8604 | |
| | 3.3367 | 1.7544 | 600 | 3.2864 | 8.7272 | 1.1167 | 8.0103 | 11.9792 | 0.8638 | 0.8565 | 0.8598 | |
| | 3.2902 | 2.3392 | 800 | 3.2639 | 8.5549 | 1.1047 | 7.9038 | 10.4861 | 0.8693 | 0.8558 | 0.8622 | |
| | 3.2053 | 2.9240 | 1000 | 3.2464 | 8.715 | 1.0443 | 8.0952 | 10.9375 | 0.8667 | 0.8558 | 0.8609 | |
| | 3.139 | 3.5088 | 1200 | 3.2420 | 9.1545 | 1.1215 | 8.4443 | 12.0035 | 0.8651 | 0.8571 | 0.8608 | |
| | 3.1294 | 4.0936 | 1400 | 3.2318 | 9.1819 | 1.0984 | 8.5163 | 11.9028 | 0.8634 | 0.8554 | 0.859 | |
| | 3.0969 | 4.6784 | 1600 | 3.2310 | 9.4633 | 1.039 | 8.7585 | 12.3194 | 0.8624 | 0.8561 | 0.8589 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.48.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.4.1 |
| - Tokenizers 0.21.1 |
| |
