| | ---
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| | library_name: transformers
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| | license: apache-2.0
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| | base_model: Qwen/Qwen2.5-0.5B
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| | tags:
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| | - generated_from_trainer
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| | - qwen
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| | - GGUF
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| | - worldmodel
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| | - worldbuilding
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| | datasets:
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| | - archit11/worldbuilding
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| | language:
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| | - zho
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| | - eng
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| | - fra
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| | - spa
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| | - por
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| | - deu
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| | - ita
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| | - rus
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| | - jpn
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| | - kor
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| | - vie
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| | - tha
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| | - ara
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| | model-index:
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| | - name: capybara_finetuned_results3
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| | results: []
|
| | ---
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| |
|
| | <!-- 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. -->
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| |
|
| | # capybara_finetuned_results3
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| |
|
| | This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on an unknown dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 5.6542
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| |
|
| | ## video demo : (its pretty bad)
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| |
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| | <video controls autoplay muted src="https://0x0.st/XgZs.mp4"></video>
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
|
| | ## Training and evaluation data
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| |
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| | More information needed
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| |
|
| | ## Training procedure
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| |
|
| | ### Training hyperparameters
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| |
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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: 1
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| | - eval_batch_size: 8
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| | - seed: 42
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| | - gradient_accumulation_steps: 4
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| | - total_train_batch_size: 4
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| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| | - lr_scheduler_type: cosine
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| | - lr_scheduler_warmup_steps: 5
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| | - training_steps: 800
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| |
|
| | ### Training results
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| |
|
| | | Training Loss | Epoch | Step | Validation Loss |
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| | |:-------------:|:------:|:----:|:---------------:|
|
| | | 15.5311 | 0.0230 | 50 | 14.5422 |
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| | | 8.7477 | 0.0460 | 100 | 9.2952 |
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| | | 7.3554 | 0.0690 | 150 | 7.1992 |
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| | | 6.828 | 0.0920 | 200 | 6.7258 |
|
| | | 6.4694 | 0.1150 | 250 | 6.3597 |
|
| | | 6.3401 | 0.1381 | 300 | 6.1703 |
|
| | | 6.1256 | 0.1611 | 350 | 6.0395 |
|
| | | 6.0372 | 0.1841 | 400 | 5.9271 |
|
| | | 6.0221 | 0.2071 | 450 | 5.8464 |
|
| | | 5.8783 | 0.2301 | 500 | 5.7810 |
|
| | | 5.8339 | 0.2531 | 550 | 5.7335 |
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| | | 5.8546 | 0.2761 | 600 | 5.6904 |
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| | | 5.9169 | 0.2991 | 650 | 5.6690 |
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| | | 5.7959 | 0.3221 | 700 | 5.6565 |
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| | | 5.7271 | 0.3451 | 750 | 5.6543 |
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| | | 5.8734 | 0.3682 | 800 | 5.6542 |
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| |
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| |
|
| | ### Framework versions
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| |
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| | - Transformers 4.44.2
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| | - Pytorch 2.4.0
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| | - Datasets 3.0.0
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| | - Tokenizers 0.19.1 |
