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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-v1.0 |
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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-sft-test3 |
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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-sft-test3 |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2259 |
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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: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 10 |
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- seed: 4234 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW 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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.3312 | 0.0778 | 20 | 0.2974 | |
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| 0.3523 | 0.1556 | 40 | 0.2538 | |
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| 0.2853 | 0.2335 | 60 | 0.2694 | |
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| 0.2953 | 0.3113 | 80 | 0.2519 | |
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| 0.3104 | 0.3891 | 100 | 0.2379 | |
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| 0.3664 | 0.4669 | 120 | 0.2325 | |
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| 0.3484 | 0.5447 | 140 | 0.2302 | |
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| 0.2604 | 0.6226 | 160 | 0.2322 | |
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| 0.3282 | 0.7004 | 180 | 0.2232 | |
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| 0.2788 | 0.7782 | 200 | 0.2250 | |
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| 0.2589 | 0.8560 | 220 | 0.2260 | |
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| 0.2551 | 0.9339 | 240 | 0.2259 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.51.3 |
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- Pytorch 2.7.0+cu128 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
