Model save
Browse files- README.md +80 -0
- adapter_model.safetensors +1 -1
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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- llama-factory
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- generated_from_trainer
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model-index:
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- name: train_cb_1757340167
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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_cb_1757340167
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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: 0.1742
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- Num Input Tokens Seen: 350336
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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: 42
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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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| 0.7951 | 0.5088 | 29 | 0.6471 | 18048 |
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| 0.2042 | 1.0175 | 58 | 0.1866 | 36928 |
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| 0.1537 | 1.5263 | 87 | 0.1335 | 54176 |
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| 0.331 | 2.0351 | 116 | 0.1582 | 73136 |
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| 0.1844 | 2.5439 | 145 | 0.2117 | 91216 |
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| 0.0761 | 3.0526 | 174 | 0.1914 | 110696 |
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| 0.1566 | 3.5614 | 203 | 0.1673 | 129448 |
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| 0.197 | 4.0702 | 232 | 0.1535 | 147176 |
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| 0.2652 | 4.5789 | 261 | 0.1619 | 164424 |
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| 0.0332 | 5.0877 | 290 | 0.1772 | 183416 |
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| 0.465 | 5.5965 | 319 | 0.1760 | 203256 |
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| 0.0383 | 6.1053 | 348 | 0.1951 | 220912 |
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| 0.0998 | 6.6140 | 377 | 0.1752 | 240336 |
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| 0.1873 | 7.1228 | 406 | 0.1756 | 257848 |
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| 0.0519 | 7.6316 | 435 | 0.1726 | 276824 |
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| 0.1781 | 8.1404 | 464 | 0.1769 | 294504 |
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| 0.053 | 8.6491 | 493 | 0.1806 | 313576 |
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| 0.05 | 9.1579 | 522 | 0.1811 | 332256 |
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| 0.3965 | 9.6667 | 551 | 0.1742 | 350336 |
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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
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adapter_model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 819328
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version https://git-lfs.github.com/spec/v1
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oid sha256:0370aa94338e1e6d56eb228e5b2499ed483ccdc1cba1f3adf7f8966091522aa3
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size 819328
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