82 lines
2.9 KiB
Markdown
82 lines
2.9 KiB
Markdown
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---
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library_name: transformers
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license: llama3.2
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base_model: meta-llama/Llama-3.2-1B-Instruct
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tags:
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- peft-factory
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- freeze
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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_record_42_1779354540
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results: []
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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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# train_record_42_1779354540
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the record dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3537
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- Num Input Tokens Seen: 49166912
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
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| 0.764 | 0.0501 | 782 | 0.6362 | 2474432 |
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| 0.6569 | 0.1001 | 1564 | 0.5395 | 4931328 |
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| 0.5165 | 0.1502 | 2346 | 0.5076 | 7397056 |
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| 0.5774 | 0.2002 | 3128 | 0.4884 | 9832064 |
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| 0.4226 | 0.2503 | 3910 | 0.4644 | 12304064 |
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| 0.3784 | 0.3004 | 4692 | 0.4629 | 14775488 |
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| 0.579 | 0.3504 | 5474 | 0.4391 | 17259840 |
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| 0.3547 | 0.4005 | 6256 | 0.4233 | 19707456 |
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| 0.3794 | 0.4505 | 7038 | 0.4316 | 22178432 |
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| 0.3939 | 0.5006 | 7820 | 0.4134 | 24646208 |
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| 0.3382 | 0.5507 | 8602 | 0.3985 | 27101056 |
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| 0.4 | 0.6007 | 9384 | 0.3917 | 29544576 |
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| 0.3188 | 0.6508 | 10166 | 0.3784 | 32010176 |
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| 0.4233 | 0.7009 | 10948 | 0.3722 | 34475136 |
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| 0.2995 | 0.7509 | 11730 | 0.3648 | 36931648 |
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| 0.3367 | 0.8010 | 12512 | 0.3636 | 39382144 |
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| 0.272 | 0.8510 | 13294 | 0.3571 | 41847872 |
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| 0.3451 | 0.9011 | 14076 | 0.3544 | 44318848 |
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| 0.2502 | 0.9512 | 14858 | 0.3537 | 46767552 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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