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---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_boolq_123_1762589801
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# train_boolq_123_1762589801
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 the boolq dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3213
- Num Input Tokens Seen: 42678144
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.03
- train_batch_size: 4
- eval_batch_size: 4
- seed: 123
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.2872 | 1.0 | 2121 | 0.3391 | 2131904 |
| 0.3153 | 2.0 | 4242 | 0.3294 | 4264768 |
| 0.3251 | 3.0 | 6363 | 0.3346 | 6404896 |
| 0.3535 | 4.0 | 8484 | 0.3308 | 8537088 |
| 0.3267 | 5.0 | 10605 | 0.3278 | 10677088 |
| 0.3159 | 6.0 | 12726 | 0.3298 | 12814080 |
| 0.2604 | 7.0 | 14847 | 0.3271 | 14950432 |
| 0.3271 | 8.0 | 16968 | 0.3267 | 17082336 |
| 0.3257 | 9.0 | 19089 | 0.3424 | 19211360 |
| 0.3441 | 10.0 | 21210 | 0.3264 | 21342336 |
| 0.3417 | 11.0 | 23331 | 0.3277 | 23472352 |
| 0.3086 | 12.0 | 25452 | 0.3271 | 25602144 |
| 0.3027 | 13.0 | 27573 | 0.3251 | 27739072 |
| 0.3239 | 14.0 | 29694 | 0.3250 | 29880544 |
| 0.3697 | 15.0 | 31815 | 0.3236 | 32013760 |
| 0.3328 | 16.0 | 33936 | 0.3237 | 34138272 |
| 0.3275 | 17.0 | 36057 | 0.3222 | 36269152 |
| 0.3746 | 18.0 | 38178 | 0.3221 | 38408800 |
| 0.339 | 19.0 | 40299 | 0.3219 | 40541312 |
| 0.2792 | 20.0 | 42420 | 0.3213 | 42678144 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |