| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: google/mt5-small |
| tags: |
| - base_model:adapter:google/mt5-small |
| - lora |
| - transformers |
| model-index: |
| - name: mt5-finetuned-easy-v2 |
| 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. --> |
|
|
| # mt5-finetuned-easy-v2 |
|
|
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.9513 |
|
|
| ## 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: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - optimizer: Use OptimizerNames.ADAFACTOR and the args are: |
| No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 0.03 |
| - num_epochs: 2 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 65.0991 | 0.4080 | 500 | 10.7504 | |
| | 34.0303 | 0.8160 | 1000 | 6.1853 | |
| | 28.7775 | 1.2236 | 1500 | 5.1882 | |
| | 27.4133 | 1.6316 | 2000 | 4.9513 | |
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|
| ### Framework versions |
|
|
| - PEFT 0.18.1 |
| - Transformers 5.2.0 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
