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--- |
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library_name: transformers |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: qwen3-1.7b-vericava-posts-v1 |
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results: [] |
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language: |
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- ja |
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pipeline_tag: text-generation |
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--- |
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# qwen3-1.7b-vericava-posts-v1 |
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This is a model trained from scratch, using parameters of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) on a dataset of my posts on the Internet. |
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## Model description |
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It generates text resembling what I post on the Internet. |
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## Intended uses & limitations |
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**CAUTION: It may produce something I'd never say.** |
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I do not impose any restriction(s) on the use of this model. |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 300 |
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- num_epochs: 400 |
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### Training results |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
