| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: KMH158/t5-small-openassistant-chat |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: t5-small-openassistant-chat-final |
| | 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. --> |
| |
|
| | # t5-small-openassistant-chat-final |
| |
|
| | This model is a fine-tuned version of [KMH158/t5-small-openassistant-chat](https://huggingface.co/KMH158/t5-small-openassistant-chat) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 3.0506 |
| | - eval_rougeL: 0.1203 |
| | - eval_runtime: 92.915 |
| | - eval_samples_per_second: 6.673 |
| | - eval_steps_per_second: 3.336 |
| | - epoch: 11.0 |
| | - step: 836 |
| | |
| | ## 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: 0.0001 |
| | - train_batch_size: 40 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 320 |
| | - 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 |
| | - num_epochs: 20 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.55.3 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.2 |
| |
|
