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epoch
float64 | total_flos
float64 | train_loss
float64 | train_runtime
float64 | train_samples_per_second
float64 | train_steps_per_second
float64 |
|---|---|---|---|---|---|
3
| 3,631,068,431,253,504
| 0.331848
| 11,255.0873
| 15.539
| 0.015
|
OpenThinker3-qwen3-2196030
This model is a fine-tuned version of /home/rishabhtiwari/hf_cache/Qwen--Qwen3-30B-A3B-Base on the open_thoughts_3_small_instruct 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: 8e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 128
- total_train_batch_size: 1024
- total_eval_batch_size: 1024
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
Framework versions
- Transformers 4.51.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
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