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train_mrpc_101112_1760638023

Text Generation
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Safetensors
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llama-factory
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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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+ - 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_mrpc_101112_1760638023
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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_mrpc_101112_1760638023
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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: 0.1069
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+ - Num Input Tokens Seen: 6767120
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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: 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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+
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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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+ | 0.2113 | 1.0 | 826 | 0.1636 | 339144 |
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+ | 0.1104 | 2.0 | 1652 | 0.1466 | 677000 |
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+ | 0.1125 | 3.0 | 2478 | 0.1352 | 1015816 |
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+ | 0.1356 | 4.0 | 3304 | 0.1293 | 1354072 |
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+ | 0.1318 | 5.0 | 4130 | 0.1245 | 1692608 |
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+ | 0.1543 | 6.0 | 4956 | 0.1183 | 2030416 |
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+ | 0.1004 | 7.0 | 5782 | 0.1145 | 2369136 |
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+ | 0.1011 | 8.0 | 6608 | 0.1124 | 2707920 |
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+ | 0.132 | 9.0 | 7434 | 0.1109 | 3046392 |
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+ | 0.1628 | 10.0 | 8260 | 0.1099 | 3383592 |
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+ | 0.1131 | 11.0 | 9086 | 0.1080 | 3722064 |
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+ | 0.0903 | 12.0 | 9912 | 0.1082 | 4060512 |
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+ | 0.1352 | 13.0 | 10738 | 0.1082 | 4398224 |
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+ | 0.0789 | 14.0 | 11564 | 0.1077 | 4737184 |
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+ | 0.0663 | 15.0 | 12390 | 0.1061 | 5075136 |
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+ | 0.1096 | 16.0 | 13216 | 0.1057 | 5413384 |
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+ | 0.1921 | 17.0 | 14042 | 0.1068 | 5751600 |
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+ | 0.0834 | 18.0 | 14868 | 0.1066 | 6090384 |
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+ | 0.0692 | 19.0 | 15694 | 0.1068 | 6429416 |
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+ | 0.0673 | 20.0 | 16520 | 0.1069 | 6767120 |
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+
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+
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+ ### Framework versions
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+
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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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