82 lines
2.8 KiB
Markdown
82 lines
2.8 KiB
Markdown
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---
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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_cola_42_1776331560
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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_cola_42_1776331560
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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 cola dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1763
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- Num Input Tokens Seen: 1932608
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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-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: 5
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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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| 0.2021 | 0.2505 | 241 | 0.2780 | 97664 |
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| 0.2402 | 0.5010 | 482 | 0.2002 | 194560 |
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| 0.1906 | 0.7516 | 723 | 0.2094 | 291712 |
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| 0.2397 | 1.0021 | 964 | 0.1763 | 387464 |
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| 0.0622 | 1.2526 | 1205 | 0.2676 | 485192 |
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| 0.0911 | 1.5031 | 1446 | 0.3146 | 581704 |
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| 0.1042 | 1.7536 | 1687 | 0.2114 | 677576 |
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| 0.096 | 2.0042 | 1928 | 0.3562 | 775312 |
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| 0.0094 | 2.2547 | 2169 | 0.3035 | 873104 |
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| 0.0894 | 2.5052 | 2410 | 0.3649 | 969360 |
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| 0.0705 | 2.7557 | 2651 | 0.3061 | 1065232 |
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| 0.0016 | 3.0062 | 2892 | 0.2698 | 1162016 |
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| 0.0469 | 3.2568 | 3133 | 0.3603 | 1259168 |
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| 0.0682 | 3.5073 | 3374 | 0.4128 | 1355552 |
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| 0.0128 | 3.7578 | 3615 | 0.3697 | 1453088 |
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| 0.0238 | 4.0083 | 3856 | 0.3716 | 1549360 |
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| 0.0 | 4.2588 | 4097 | 0.4492 | 1645808 |
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| 0.0202 | 4.5094 | 4338 | 0.4368 | 1742960 |
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| 0.0001 | 4.7599 | 4579 | 0.4381 | 1839344 |
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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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