| | --- |
| | license: apache-2.0 |
| | base_model: google/flan-t5-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: Chatbot_Model_Trial |
| | 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. --> |
| |
|
| | # Chatbot_Model_Trial |
| |
|
| | 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: 0.5584 |
| | - Rouge1: 56.2154 |
| | - Rouge2: 45.5 |
| | - Rougel: 56.1576 |
| | - Rougelsum: 56.2154 |
| | - Gen Len: 15.375 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
| | | No log | 1.0 | 10 | 0.7558 | 54.0149 | 42.5 | 54.2148 | 54.2148 | 14.5 | |
| | | No log | 2.0 | 20 | 0.5950 | 48.8456 | 37.5 | 49.3056 | 49.4769 | 14.75 | |
| | | No log | 3.0 | 30 | 0.5723 | 48.8456 | 37.5 | 49.3056 | 49.4769 | 14.75 | |
| | | No log | 4.0 | 40 | 0.5624 | 48.8456 | 37.5 | 49.3056 | 49.4769 | 14.75 | |
| | | No log | 5.0 | 50 | 0.5584 | 56.2154 | 45.5 | 56.1576 | 56.2154 | 15.375 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.0 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.14.1 |
| |
|
