57 lines
1.4 KiB
Markdown
57 lines
1.4 KiB
Markdown
|
---
|
||
|
|
library_name: transformers
|
||
|
|
license: other
|
||
|
|
base_model: Qwen/Qwen3-1.7B
|
||
|
|
tags:
|
||
|
|
- llama-factory
|
||
|
|
- full
|
||
|
|
- openthoughts
|
||
|
|
model-index:
|
||
|
|
- name: openthoughts-4-code-qwen3-32b-annotated-7k_qwen3-1.7B_10k
|
||
|
|
results: []
|
||
|
|
---
|
||
|
|
|
||
|
|
|
||
|
|
# Openthoughts-4-code-qwen3-32b-annotated-7k_qwen3-1.7B_10k
|
||
|
|
|
||
|
|
This model is a fine-tuned version of [Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B), 10k output length, on the laion/openthoughts-4-code-qwen3-32b-7k-annotated-sharegpt dataset (which is created using https://huggingface.co/datasets/mlfoundations-dev/hero_run_4_code as seed for generation, Qwen3 32B with 7.5k output length)
|
||
|
|
|
||
|
|
## 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
|
||
|
|
- per_device_train_batch_size: 4
|
||
|
|
- seed: 42
|
||
|
|
- distributed_type: multi-GPU
|
||
|
|
- num_devices: 256
|
||
|
|
- total_train_batch_size: 1024
|
||
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
||
|
|
- lr_scheduler_type: cosine
|
||
|
|
- lr_scheduler_warmup_ratio: 0.1
|
||
|
|
- num_epochs: 8.0
|
||
|
|
|
||
|
|
### Training results
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
### Framework versions
|
||
|
|
|
||
|
|
- Transformers 4.55.0
|
||
|
|
- Pytorch 2.7.1+cu128
|
||
|
|
- Datasets 3.6.0
|
||
|
|
- Tokenizers 0.21.1
|