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--- |
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library_name: peft |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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tags: |
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- llama-factory |
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- prefix-tuning |
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- generated_from_trainer |
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model-index: |
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- name: train_rte_1754652145 |
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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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# train_rte_1754652145 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the rte dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1820 |
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- Num Input Tokens Seen: 3481336 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 123 |
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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: 0.1 |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| 6.7786 | 0.5009 | 281 | 6.3206 | 176032 | |
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| 2.0606 | 1.0018 | 562 | 2.2780 | 349200 | |
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| 0.8595 | 1.5027 | 843 | 0.5880 | 524208 | |
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| 0.4327 | 2.0036 | 1124 | 0.3796 | 699264 | |
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| 0.239 | 2.5045 | 1405 | 0.2867 | 873600 | |
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| 0.196 | 3.0053 | 1686 | 0.2456 | 1048184 | |
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| 0.2079 | 3.5062 | 1967 | 0.2240 | 1223864 | |
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| 0.2358 | 4.0071 | 2248 | 0.2165 | 1397624 | |
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| 0.1778 | 4.5080 | 2529 | 0.2119 | 1570936 | |
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| 0.2055 | 5.0089 | 2810 | 0.1969 | 1746384 | |
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| 0.2039 | 5.5098 | 3091 | 0.1901 | 1922384 | |
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| 0.1752 | 6.0107 | 3372 | 0.1904 | 2092320 | |
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| 0.2109 | 6.5116 | 3653 | 0.1882 | 2267520 | |
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| 0.1554 | 7.0125 | 3934 | 0.1853 | 2441688 | |
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| 0.1665 | 7.5134 | 4215 | 0.1854 | 2614936 | |
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| 0.1686 | 8.0143 | 4496 | 0.1831 | 2790832 | |
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| 0.1655 | 8.5152 | 4777 | 0.1827 | 2963888 | |
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| 0.1594 | 9.0160 | 5058 | 0.1820 | 3137352 | |
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| 0.1618 | 9.5169 | 5339 | 0.1834 | 3312648 | |
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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 2.8.0+cu128 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
