6c0ef39b44
Model: laion/Qwen3-8B_exp_tas_tmux_large_traces_save-strategy_steps Source: Original Platform
1.4 KiB
1.4 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | apache-2.0 | Qwen/Qwen3-8B |
|
|
Qwen3-8B_exp_tas_tmux_large_traces_save-strategy_steps
This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/exp_tas_tmux_large_traces 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 32
- total_eval_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.87,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.005
- 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