should probably proofread and complete it, then remove this comment. -->
0
3 commits
1 linked in READMEs
updated Mar 23, 2026
README
TravelPlanner_Instruct_7B_1128_1K_4Epoch
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the travelplanner_1108_5k_filter_1128_1k 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.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_ratio: 0.1
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1
conversational
endpoints_compatible
full
generated_from_trainer
llama-factory
qwen2
safetensors
text-generation
text-generation-inference
transformers
Contributors
xxwu
3 commits
should probably proofread and complete it, then remove this comment. -->
0
3 commits
1 linked in READMEs
updated Mar 23, 2026
README
TravelPlanner_Instruct_7B_1128_1K_4Epoch
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the travelplanner_1108_5k_filter_1128_1k 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.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_ratio: 0.1
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1
conversational
endpoints_compatible
full
generated_from_trainer
llama-factory
qwen2
safetensors
text-generation
text-generation-inference
transformers
Similar repos
Linked in READMEs
Contributors
xxwu
3 commits