82 lines
2.9 KiB
Markdown
82 lines
2.9 KiB
Markdown
---
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library_name: transformers
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license: llama3.2
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base_model: meta-llama/Llama-3.2-1B-Instruct
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tags:
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- peft-factory
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- full
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: train_qnli_42_1779286681
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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_qnli_42_1779286681
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the qnli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0522
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- Num Input Tokens Seen: 11312256
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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: 2e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.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: 1
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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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| 0.093 | 0.0501 | 590 | 0.0805 | 571072 |
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| 0.0911 | 0.1001 | 1180 | 0.0656 | 1136384 |
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| 0.1636 | 0.1502 | 1770 | 0.0790 | 1703808 |
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| 0.138 | 0.2003 | 2360 | 0.0773 | 2266496 |
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| 0.0654 | 0.2503 | 2950 | 0.0821 | 2827328 |
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| 0.0218 | 0.3004 | 3540 | 0.0740 | 3399808 |
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| 0.0142 | 0.3505 | 4130 | 0.0708 | 3963584 |
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| 0.0847 | 0.4005 | 4720 | 0.0573 | 4530304 |
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| 0.0674 | 0.4506 | 5310 | 0.0652 | 5095424 |
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| 0.0262 | 0.5007 | 5900 | 0.0528 | 5660352 |
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| 0.0577 | 0.5507 | 6490 | 0.0573 | 6232896 |
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| 0.042 | 0.6008 | 7080 | 0.0625 | 6801984 |
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| 0.0449 | 0.6509 | 7670 | 0.0570 | 7363968 |
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| 0.0589 | 0.7010 | 8260 | 0.0540 | 7924800 |
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| 0.0597 | 0.7510 | 8850 | 0.0540 | 8494720 |
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| 0.1148 | 0.8011 | 9440 | 0.0544 | 9066048 |
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| 0.0761 | 0.8512 | 10030 | 0.0528 | 9634624 |
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| 0.0919 | 0.9012 | 10620 | 0.0522 | 10199424 |
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| 0.0039 | 0.9513 | 11210 | 0.0523 | 10764096 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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