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--- |
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library_name: transformers |
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base_model: sengi/lladou-gsm8k-b32 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: LLaDA-8B-Instruct |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# LLaDA-8B-Instruct |
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This model is a fine-tuned version of [sengi/lladou-gsm8k-b32](https://huggingface.co/sengi/lladou-gsm8k-b32) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: -9.4135 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 40 |
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- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 200 |
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- training_steps: 10000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 12.5223 | 0.001 | 1000 | 19.8564 | |
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| 15.1946 | 0.002 | 2000 | 20.4100 | |
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| -13.4932 | 0.3 | 3000 | -12.4603 | |
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| -12.5083 | 0.4 | 4000 | -9.9804 | |
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| -11.9398 | 0.5 | 5000 | -9.1448 | |
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| -15.111 | 1.0532 | 6000 | -9.1216 | |
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| -16.8137 | 1.1532 | 7000 | -9.8617 | |
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| -14.6685 | 1.2532 | 8000 | -10.7716 | |
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| -13.1242 | 1.3532 | 9000 | -9.1976 | |
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| -12.7972 | 1.4532 | 10000 | -9.4135 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.8.0+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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