82 lines
2.9 KiB
Markdown
82 lines
2.9 KiB
Markdown
---
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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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- full
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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_1776331412
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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_1776331412
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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: 0.4481
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- Num Input Tokens Seen: 245808128
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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: 5e-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: 5
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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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| 0.6094 | 0.2500 | 3906 | 0.5014 | 12292032 |
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| 0.4689 | 0.5001 | 7812 | 0.5265 | 24620672 |
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| 0.5124 | 0.7501 | 11718 | 0.4985 | 36894016 |
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| 0.343 | 1.0002 | 15624 | 0.4854 | 49176512 |
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| 0.265 | 1.2502 | 19530 | 0.5116 | 61465280 |
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| 0.2897 | 1.5003 | 23436 | 0.4806 | 73739776 |
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| 0.2995 | 1.7503 | 27342 | 0.4774 | 86015936 |
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| 0.2658 | 2.0004 | 31248 | 0.4481 | 98341056 |
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| 0.2663 | 2.2504 | 35154 | 0.5257 | 110649216 |
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| 0.1792 | 2.5005 | 39060 | 0.5071 | 122910592 |
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| 0.2395 | 2.7505 | 42966 | 0.5056 | 135222656 |
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| 0.1496 | 3.0006 | 46872 | 0.5023 | 147516736 |
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| 0.1005 | 3.2506 | 50778 | 0.5569 | 159826368 |
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| 0.159 | 3.5007 | 54684 | 0.5747 | 172084032 |
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| 0.1324 | 3.7507 | 58590 | 0.5466 | 184402752 |
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| 0.1773 | 4.0008 | 62496 | 0.5555 | 196687936 |
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| 0.0922 | 4.2508 | 66402 | 0.6279 | 209017024 |
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| 0.1645 | 4.5009 | 70308 | 0.6087 | 221278272 |
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| 0.1252 | 4.7509 | 74214 | 0.6058 | 233564288 |
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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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