metadata
base_model: Qwen/Qwen2.5-0.5B-Instruct
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Neuria_ES-SQL_Formatted_Qwen_0.5B-19112024-cosino
results: []
Neuria_ES-SQL_Formatted_Qwen_0.5B-19112024-cosino
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on an unknown dataset.
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20
Framework versions
- PEFT 0.13.0
- Transformers 4.44.1
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.19.1