| --- |
| license: apache-2.0 |
| base_model: google/flan-t5-small |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: T5_mrqa_fast_learner |
| 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/favcowboy/huggingface/runs/sl2dck2w) |
| # T5_mrqa_fast_learner |
| |
| 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: 0.8387 |
| |
| ## 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: 0.0002 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 9 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.9917 | 1.0 | 500 | 0.7513 | |
| | 0.7799 | 2.0 | 1000 | 0.7524 | |
| | 0.6705 | 3.0 | 1500 | 0.7539 | |
| | 0.5894 | 4.0 | 2000 | 0.7659 | |
| | 0.5239 | 5.0 | 2500 | 0.7906 | |
| | 0.4808 | 6.0 | 3000 | 0.8057 | |
| | 0.4391 | 7.0 | 3500 | 0.8203 | |
| | 0.4156 | 8.0 | 4000 | 0.8283 | |
| | 0.3974 | 9.0 | 4500 | 0.8387 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.42.0.dev0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
|
|
