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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v0.6 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: TinyLlama-1.1B-Chat-v0.6-BALLUFF |
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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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# TinyLlama-1.1B-Chat-v0.6-BALLUFF |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v0.6](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.6) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2857 |
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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: 0.001 |
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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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- 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: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.4974 | 1.0 | 1334 | 0.4325 | |
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| 0.4279 | 2.0 | 2668 | 0.4047 | |
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| 0.304 | 3.0 | 4002 | 0.3933 | |
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| 0.2024 | 4.0 | 5336 | 0.3896 | |
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| 0.298 | 5.0 | 6670 | 0.3859 | |
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| 0.4684 | 6.0 | 8004 | 0.4056 | |
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| 0.3579 | 7.0 | 9338 | 0.3844 | |
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| 0.3633 | 8.0 | 10672 | 0.3963 | |
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| 0.8385 | 9.0 | 12006 | 0.3809 | |
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| 0.4261 | 10.0 | 13340 | 0.3974 | |
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| 0.6172 | 11.0 | 14674 | 0.3797 | |
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| 0.4697 | 12.0 | 16008 | 0.3747 | |
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| 0.3488 | 13.0 | 17342 | 0.3687 | |
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| 0.5322 | 14.0 | 18676 | 0.3583 | |
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| 0.3615 | 15.0 | 20010 | 0.3571 | |
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| 0.4629 | 16.0 | 21344 | 0.3501 | |
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| 0.2742 | 17.0 | 22678 | 0.3425 | |
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| 0.2556 | 18.0 | 24012 | 0.3340 | |
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| 0.1484 | 19.0 | 25346 | 0.3287 | |
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| 0.3551 | 20.0 | 26680 | 0.3227 | |
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| 0.2442 | 21.0 | 28014 | 0.3129 | |
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| 0.2195 | 22.0 | 29348 | 0.3087 | |
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| 0.1966 | 23.0 | 30682 | 0.3024 | |
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| 0.5957 | 24.0 | 32016 | 0.2962 | |
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| 0.2548 | 25.0 | 33350 | 0.2926 | |
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| 0.2288 | 26.0 | 34684 | 0.2896 | |
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| 0.1871 | 27.0 | 36018 | 0.2872 | |
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| 0.4647 | 28.0 | 37352 | 0.2862 | |
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| 0.1915 | 29.0 | 38686 | 0.2858 | |
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| 0.4057 | 30.0 | 40020 | 0.2857 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
