68 lines
1.8 KiB
Markdown
68 lines
1.8 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-0.6B
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tags:
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- generated_from_trainer
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model-index:
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- name: Qwen3-0.6B-finetuned-astro-horoscope-fsdp
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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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# Qwen3-0.6B-finetuned-astro-horoscope-fsdp
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This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2469
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- Perplexity: 1.2800
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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: 0.0002
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- train_batch_size: 64
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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: 8
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- total_train_batch_size: 512
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- total_eval_batch_size: 64
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- optimizer: Use 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: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Perplexity |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|
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| No log | 1.0 | 39 | 1.4018 | 4.0626 |
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| 2.1578 | 2.0 | 78 | 0.8331 | 2.3004 |
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| 0.8726 | 3.0 | 117 | 0.5413 | 1.7182 |
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| 0.4763 | 4.0 | 156 | 0.3450 | 1.4121 |
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| 0.4763 | 5.0 | 195 | 0.2469 | 1.2800 |
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### Framework versions
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- Transformers 5.5.4
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- Pytorch 2.11.0+cu128
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- Datasets 4.8.4
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- Tokenizers 0.22.2
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