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README.md
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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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- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
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- llama-factory
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- transformers
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pipeline_tag: text-generation
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model-index:
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- name: train_svamp_101112_1760638004
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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_svamp_101112_1760638004
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2142
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- Num Input Tokens Seen: 1430592
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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: 101112
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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: 20
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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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| 2.4702 | 1.0 | 158 | 2.4417 | 71552 |
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| 1.5492 | 2.0 | 316 | 1.5887 | 142960 |
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| 0.8332 | 3.0 | 474 | 0.9196 | 214432 |
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| 0.4267 | 4.0 | 632 | 0.5329 | 286000 |
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| 0.2682 | 5.0 | 790 | 0.3736 | 357888 |
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| 0.1618 | 6.0 | 948 | 0.3068 | 429456 |
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| 0.1109 | 7.0 | 1106 | 0.2751 | 501136 |
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| 0.1032 | 8.0 | 1264 | 0.2582 | 573104 |
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| 0.1209 | 9.0 | 1422 | 0.2467 | 644752 |
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| 0.1224 | 10.0 | 1580 | 0.2368 | 716192 |
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| 0.0463 | 11.0 | 1738 | 0.2299 | 787200 |
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| 0.1375 | 12.0 | 1896 | 0.2260 | 858736 |
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| 0.1195 | 13.0 | 2054 | 0.2231 | 930160 |
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| 0.0919 | 14.0 | 2212 | 0.2209 | 1001792 |
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| 0.0831 | 15.0 | 2370 | 0.2172 | 1073248 |
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| 0.0659 | 16.0 | 2528 | 0.2180 | 1144672 |
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| 0.0959 | 17.0 | 2686 | 0.2169 | 1216160 |
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| 0.0386 | 18.0 | 2844 | 0.2155 | 1287728 |
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| 0.0871 | 19.0 | 3002 | 0.2143 | 1359120 |
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| 0.0834 | 20.0 | 3160 | 0.2142 | 1430592 |
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### Framework versions
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- PEFT 0.17.1
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- Transformers 4.51.3
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- Pytorch 2.9.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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