---
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