82 lines
2.8 KiB
Markdown
82 lines
2.8 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_mrpc_42_1774791061
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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_mrpc_42_1774791061
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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 mrpc dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1740
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- Num Input Tokens Seen: 1780000
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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: 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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| 0.1681 | 0.2518 | 104 | 0.1740 | 89600 |
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| 0.2715 | 0.5036 | 208 | 0.2312 | 178688 |
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| 0.2276 | 0.7554 | 312 | 0.2285 | 267968 |
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| 0.5572 | 1.0073 | 416 | 0.2625 | 357488 |
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| 0.1881 | 1.2591 | 520 | 0.1977 | 446896 |
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| 0.1809 | 1.5109 | 624 | 0.1926 | 536176 |
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| 0.1949 | 1.7627 | 728 | 0.1982 | 626992 |
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| 0.256 | 2.0145 | 832 | 0.1935 | 716344 |
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| 0.1601 | 2.2663 | 936 | 0.3867 | 806712 |
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| 0.1768 | 2.5182 | 1040 | 0.1944 | 895736 |
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| 0.1964 | 2.7700 | 1144 | 0.1932 | 985592 |
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| 0.1436 | 3.0218 | 1248 | 0.2053 | 1074624 |
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| 0.2252 | 3.2736 | 1352 | 0.2092 | 1164544 |
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| 0.1328 | 3.5254 | 1456 | 0.3492 | 1253248 |
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| 0.1842 | 3.7772 | 1560 | 0.2190 | 1344000 |
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| 0.0897 | 4.0291 | 1664 | 0.2532 | 1432880 |
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| 0.0337 | 4.2809 | 1768 | 0.4315 | 1522544 |
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| 0.126 | 4.5327 | 1872 | 0.4220 | 1611760 |
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| 0.0336 | 4.7845 | 1976 | 0.4348 | 1702832 |
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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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