metadata
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: []
t5-small-openassistant-chat-final
This model is a fine-tuned version of 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