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train_svamp_1757340249

PEFT
Safetensors
llama-factory
lntuning
Generated from Trainer
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  2. adapter_model.safetensors +1 -1
README.md ADDED
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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_svamp_1757340249
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+ results: []
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+ ---
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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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+
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+ # train_svamp_1757340249
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+
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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: 0.1202
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+ - Num Input Tokens Seen: 704320
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 789
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
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+ | 2.025 | 0.5 | 79 | 2.0437 | 35392 |
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+ | 1.2038 | 1.0 | 158 | 1.1733 | 70288 |
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+ | 0.297 | 1.5 | 237 | 0.3298 | 105936 |
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+ | 0.1033 | 2.0 | 316 | 0.1814 | 140896 |
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+ | 0.1198 | 2.5 | 395 | 0.1598 | 175840 |
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+ | 0.0879 | 3.0 | 474 | 0.1434 | 211504 |
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+ | 0.0925 | 3.5 | 553 | 0.1374 | 246864 |
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+ | 0.0641 | 4.0 | 632 | 0.1307 | 281664 |
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+ | 0.0646 | 4.5 | 711 | 0.1304 | 317152 |
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+ | 0.1027 | 5.0 | 790 | 0.1268 | 352048 |
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+ | 0.1327 | 5.5 | 869 | 0.1245 | 387600 |
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+ | 0.0613 | 6.0 | 948 | 0.1222 | 422400 |
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+ | 0.0255 | 6.5 | 1027 | 0.1217 | 457792 |
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+ | 0.0879 | 7.0 | 1106 | 0.1203 | 492720 |
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+ | 0.0526 | 7.5 | 1185 | 0.1201 | 528336 |
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+ | 0.0671 | 8.0 | 1264 | 0.1197 | 563312 |
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+ | 0.0495 | 8.5 | 1343 | 0.1207 | 598800 |
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+ | 0.0955 | 9.0 | 1422 | 0.1192 | 633968 |
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+ | 0.0405 | 9.5 | 1501 | 0.1199 | 669456 |
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+ | 0.0296 | 10.0 | 1580 | 0.1202 | 704320 |
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+
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+
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+ ### Framework versions
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+
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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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