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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_multirc_1755694495 |
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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_multirc_1755694495 |
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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 multirc dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4210 |
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- Num Input Tokens Seen: 117044976 |
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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: 2 |
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- eval_batch_size: 2 |
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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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| 0.3106 | 0.5000 | 6130 | 0.3370 | 5867968 | |
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| 0.2456 | 1.0001 | 12260 | 0.2171 | 11717296 | |
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| 0.0183 | 1.5001 | 18390 | 0.1600 | 17588368 | |
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| 0.0191 | 2.0002 | 24520 | 0.1445 | 23419920 | |
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| 0.0116 | 2.5002 | 30650 | 0.1618 | 29254768 | |
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| 0.0151 | 3.0002 | 36780 | 0.1502 | 35127456 | |
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| 0.0071 | 3.5003 | 42910 | 0.1629 | 40997712 | |
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| 0.0549 | 4.0003 | 49040 | 0.1801 | 46843184 | |
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| 0.0045 | 4.5004 | 55170 | 0.1625 | 52692880 | |
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| 0.0028 | 5.0004 | 61300 | 0.1730 | 58550736 | |
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| 0.0007 | 5.5004 | 67430 | 0.2433 | 64403536 | |
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| 0.0019 | 6.0005 | 73560 | 0.2333 | 70253968 | |
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| 0.1469 | 6.5005 | 79690 | 0.2315 | 76098208 | |
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| 0.004 | 7.0006 | 85820 | 0.2299 | 81942784 | |
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| 0.0005 | 7.5006 | 91950 | 0.2834 | 87796256 | |
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| 0.0006 | 8.0007 | 98080 | 0.2994 | 93652576 | |
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| 0.0 | 8.5007 | 104210 | 0.3707 | 99519344 | |
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| 0.0 | 9.0007 | 110340 | 0.3787 | 105351168 | |
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| 0.0 | 9.5008 | 116470 | 0.4142 | 111213008 | |
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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 |
