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train_copa_101112_1760637991

Text Generation
PEFT
Safetensors
Transformers
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_copa_101112_1760637991
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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_copa_101112_1760637991
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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: 0.0312
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+ - Num Input Tokens Seen: 562848
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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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+ | 0.9281 | 1.0 | 90 | 0.5497 | 28192 |
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+ | 0.068 | 2.0 | 180 | 0.0412 | 56256 |
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+ | 0.0154 | 3.0 | 270 | 0.0333 | 84320 |
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+ | 0.0329 | 4.0 | 360 | 0.0329 | 112416 |
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+ | 0.0093 | 5.0 | 450 | 0.0326 | 140544 |
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+ | 0.0023 | 6.0 | 540 | 0.0314 | 168768 |
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+ | 0.0313 | 7.0 | 630 | 0.0322 | 196896 |
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+ | 0.0137 | 8.0 | 720 | 0.0314 | 225024 |
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+ | 0.0757 | 9.0 | 810 | 0.0309 | 253152 |
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+ | 0.1181 | 10.0 | 900 | 0.0314 | 281312 |
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+ | 0.0914 | 11.0 | 990 | 0.0323 | 309280 |
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+ | 0.071 | 12.0 | 1080 | 0.0323 | 337536 |
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+ | 0.0213 | 13.0 | 1170 | 0.0314 | 365632 |
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+ | 0.0429 | 14.0 | 1260 | 0.0324 | 393632 |
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+ | 0.191 | 15.0 | 1350 | 0.0314 | 421696 |
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+ | 0.0206 | 16.0 | 1440 | 0.0305 | 449984 |
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+ | 0.0522 | 17.0 | 1530 | 0.0313 | 478016 |
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+ | 0.0282 | 18.0 | 1620 | 0.0316 | 506272 |
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+ | 0.0144 | 19.0 | 1710 | 0.0313 | 534432 |
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+ | 0.0631 | 20.0 | 1800 | 0.0312 | 562848 |
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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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