1.4 KiB
1.4 KiB
library_name, license, tags, model-index, base_model
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qwen2.5-7b-thought-aligner-sharegpt-ds3
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the thought_aligner 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 7.0
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1