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train_rte_1754502820

PEFT
Safetensors
llama-factory
prompt-tuning
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_rte_1754502820
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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_rte_1754502820
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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: 0.1591
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+ - Num Input Tokens Seen: 3312648
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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: 123
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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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+ | 0.2025 | 0.5009 | 281 | 0.1984 | 176032 |
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+ | 0.1763 | 1.0018 | 562 | 0.1349 | 349200 |
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+ | 0.0961 | 1.5027 | 843 | 0.1245 | 524208 |
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+ | 0.1243 | 2.0036 | 1124 | 0.1514 | 699264 |
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+ | 0.0632 | 2.5045 | 1405 | 0.1449 | 873600 |
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+ | 0.0335 | 3.0053 | 1686 | 0.1411 | 1048184 |
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+ | 0.098 | 3.5062 | 1967 | 0.1195 | 1223864 |
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+ | 0.0022 | 4.0071 | 2248 | 0.1401 | 1397624 |
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+ | 0.0106 | 4.5080 | 2529 | 0.1345 | 1570936 |
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+ | 0.077 | 5.0089 | 2810 | 0.1460 | 1746384 |
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+ | 0.0712 | 5.5098 | 3091 | 0.1524 | 1922384 |
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+ | 0.0046 | 6.0107 | 3372 | 0.1515 | 2092320 |
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+ | 0.0674 | 6.5116 | 3653 | 0.1517 | 2267520 |
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+ | 0.0127 | 7.0125 | 3934 | 0.1563 | 2441688 |
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+ | 0.0054 | 7.5134 | 4215 | 0.1573 | 2614936 |
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+ | 0.0794 | 8.0143 | 4496 | 0.1566 | 2790832 |
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+ | 0.0063 | 8.5152 | 4777 | 0.1583 | 2963888 |
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+ | 0.0007 | 9.0160 | 5058 | 0.1581 | 3137352 |
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+ | 0.0782 | 9.5169 | 5339 | 0.1591 | 3312648 |
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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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