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train_sst2_101112_1760638077

Text Generation
PEFT
Safetensors
Transformers
llama-factory
lora
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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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+ - lora
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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_sst2_101112_1760638077
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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_sst2_101112_1760638077
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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: 0.3623
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+ - Num Input Tokens Seen: 67752208
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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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+ | 0.1865 | 1.0 | 15154 | 0.0877 | 3387376 |
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+ | 0.0316 | 2.0 | 30308 | 0.0642 | 6776272 |
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+ | 0.0042 | 3.0 | 45462 | 0.0712 | 10162816 |
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+ | 0.0008 | 4.0 | 60616 | 0.0950 | 13553408 |
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+ | 0.0003 | 5.0 | 75770 | 0.1063 | 16938528 |
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+ | 0.001 | 6.0 | 90924 | 0.1091 | 20326208 |
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+ | 0.0131 | 7.0 | 106078 | 0.1454 | 23713072 |
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+ | 0.0008 | 8.0 | 121232 | 0.1714 | 27100096 |
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+ | 0.0264 | 9.0 | 136386 | 0.1994 | 30487024 |
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+ | 0.0043 | 10.0 | 151540 | 0.1653 | 33871648 |
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+ | 0.0 | 11.0 | 166694 | 0.1943 | 37260608 |
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+ | 0.0 | 12.0 | 181848 | 0.1818 | 40646320 |
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+ | 0.0 | 13.0 | 197002 | 0.2055 | 44035072 |
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+ | 0.0001 | 14.0 | 212156 | 0.2781 | 47423936 |
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+ | 0.0 | 15.0 | 227310 | 0.2884 | 50810512 |
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+ | 0.0 | 16.0 | 242464 | 0.3510 | 54201824 |
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+ | 0.0 | 17.0 | 257618 | 0.3313 | 57588768 |
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+ | 0.0 | 18.0 | 272772 | 0.3547 | 60979040 |
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+ | 0.0 | 19.0 | 287926 | 0.3597 | 64364064 |
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+ | 0.0 | 20.0 | 303080 | 0.3623 | 67752208 |
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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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