| --- |
| 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: 1.4141 |
| - Rouge1: 20.2835 |
| - Rouge2: 9.4794 |
| - Rougel: 20.2587 |
| - Rougelsum: 20.2835 |
| - Gen Len: 14.125 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| 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 | 1.9123 | 18.7955 | 5.5978 | 17.9735 | 17.9848 | 14.75 | |
| | No log | 2.0 | 20 | 1.6554 | 22.5345 | 7.961 | 21.3846 | 21.8442 | 15.0 | |
| | No log | 3.0 | 30 | 1.5016 | 25.764 | 8.9312 | 24.6364 | 25.0268 | 13.75 | |
| | No log | 4.0 | 40 | 1.4346 | 20.2835 | 9.4794 | 20.2587 | 20.2835 | 14.125 | |
| | No log | 5.0 | 50 | 1.4141 | 20.2835 | 9.4794 | 20.2587 | 20.2835 | 14.125 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.35.0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
|
|
