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library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prefix-tuning
- generated_from_trainer
model-index:
- name: train_conala_1754652182
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_conala_1754652182
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 conala dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1469
- Num Input Tokens Seen: 1524216
## 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: 5e-05
- 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: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| 10.6497 | 0.5 | 268 | 10.7962 | 75936 |
| 8.9279 | 1.0 | 536 | 8.6633 | 152672 |
| 7.7268 | 1.5 | 804 | 7.6969 | 229344 |
| 7.3138 | 2.0 | 1072 | 7.1510 | 305288 |
| 6.8308 | 2.5 | 1340 | 6.8473 | 382120 |
| 6.5213 | 3.0 | 1608 | 6.6602 | 457952 |
| 6.1458 | 3.5 | 1876 | 6.5309 | 534688 |
| 6.4748 | 4.0 | 2144 | 6.4322 | 610944 |
| 6.0796 | 4.5 | 2412 | 6.3570 | 687328 |
| 6.3133 | 5.0 | 2680 | 6.3077 | 762440 |
| 5.5232 | 5.5 | 2948 | 6.2614 | 839656 |
| 5.3684 | 6.0 | 3216 | 6.2249 | 914920 |
| 5.9655 | 6.5 | 3484 | 6.2010 | 992104 |
| 6.3153 | 7.0 | 3752 | 6.1782 | 1067520 |
| 6.4198 | 7.5 | 4020 | 6.1645 | 1142912 |
| 5.8816 | 8.0 | 4288 | 6.1579 | 1220200 |
| 5.8843 | 8.5 | 4556 | 6.1506 | 1295720 |
| 6.5707 | 9.0 | 4824 | 6.1477 | 1372560 |
| 5.8709 | 9.5 | 5092 | 6.1469 | 1447376 |
| 5.5584 | 10.0 | 5360 | 6.1489 | 1524216 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |