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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- generator |
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
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model-index: |
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- name: Tukan-1.1B-Chat-reasoning-sft |
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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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# Tukan-1.1B-Chat-reasoning-sft |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0196 |
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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: 6 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 20 |
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- total_train_batch_size: 120 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3366 | 0.24 | 10 | 1.2783 | |
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| 1.2563 | 0.47 | 20 | 1.2321 | |
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| 1.2289 | 0.71 | 30 | 1.2012 | |
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| 1.1837 | 0.94 | 40 | 1.1688 | |
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| 1.1534 | 1.18 | 50 | 1.1306 | |
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| 1.1254 | 1.42 | 60 | 1.1037 | |
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| 1.1011 | 1.65 | 70 | 1.0882 | |
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| 1.0825 | 1.89 | 80 | 1.0748 | |
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| 1.0876 | 2.12 | 90 | 1.0635 | |
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| 1.0716 | 2.36 | 100 | 1.0540 | |
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| 1.0517 | 2.59 | 110 | 1.0459 | |
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| 1.0289 | 2.83 | 120 | 1.0389 | |
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| 1.0564 | 3.07 | 130 | 1.0332 | |
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| 1.034 | 3.3 | 140 | 1.0288 | |
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| 1.0337 | 3.54 | 150 | 1.0253 | |
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| 1.033 | 3.77 | 160 | 1.0231 | |
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| 1.0312 | 4.01 | 170 | 1.0213 | |
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| 1.0207 | 4.25 | 180 | 1.0204 | |
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| 1.0271 | 4.48 | 190 | 1.0198 | |
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| 1.0351 | 4.72 | 200 | 1.0197 | |
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| 1.0339 | 4.95 | 210 | 1.0196 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.2.0a0+gitd925d94 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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## Training procedure |
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### Framework versions |
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- PEFT 0.6.1 |
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