82 lines
2.8 KiB
Markdown
82 lines
2.8 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_boolq_42_1776331558
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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_boolq_42_1776331558
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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 boolq dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1885
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- Num Input Tokens Seen: 12333600
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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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| 0.2277 | 0.2507 | 266 | 0.2505 | 618432 |
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| 0.2193 | 0.5014 | 532 | 0.3166 | 1225408 |
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| 0.2554 | 0.7521 | 798 | 0.2179 | 1851072 |
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| 0.3676 | 1.0028 | 1064 | 0.1885 | 2475808 |
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| 0.165 | 1.2535 | 1330 | 0.4608 | 3091552 |
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| 0.2207 | 1.5042 | 1596 | 0.3545 | 3699104 |
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| 0.1138 | 1.7549 | 1862 | 0.3500 | 4324256 |
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| 0.0762 | 2.0057 | 2128 | 0.3345 | 4940992 |
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| 0.0898 | 2.2564 | 2394 | 0.4647 | 5558144 |
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| 0.0692 | 2.5071 | 2660 | 0.4098 | 6183872 |
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| 0.227 | 2.7578 | 2926 | 0.4303 | 6806208 |
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| 0.0004 | 3.0085 | 3192 | 0.3937 | 7421856 |
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| 0.0 | 3.2592 | 3458 | 0.5191 | 8043744 |
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| 0.0002 | 3.5099 | 3724 | 0.4636 | 8660768 |
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| 0.0 | 3.7606 | 3990 | 0.5201 | 9286304 |
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| 0.0001 | 4.0113 | 4256 | 0.5146 | 9894624 |
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| 0.0782 | 4.2620 | 4522 | 0.5548 | 10512416 |
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| 0.0 | 4.5127 | 4788 | 0.5418 | 11115040 |
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| 0.0 | 4.7634 | 5054 | 0.5422 | 11736672 |
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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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