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webrl-glm
Hahmdong/webrl-glm
webrl-glm is a feature extraction model from Hahmdong. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- other
- Model type
- chatglm
- Access
- Public
- Created
- Jul 16, 2025
- Updated
- Jul 16, 2025
- SHA
- 21818323
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
system_glm
This model is a fine-tuned version of THUDM/glm-4-9b-chat on the web_policy_sft_with_system dataset. It achieves the following results on the evaluation set:
- Loss: 0.1866
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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 8
- optimizer: Use 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8468 | 0.7505 | 50 | 0.2018 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Feature Extraction
- Library
- transformers
- Type
- chatglm
- License
- other
- Created
- Jul 16, 2025
- Updated
- Jul 16, 2025