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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_multirc_1755694495
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_multirc_1755694495
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 multirc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4210
- Num Input Tokens Seen: 117044976
## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:------:|:------:|:---------------:|:-----------------:|
| 0.3106 | 0.5000 | 6130 | 0.3370 | 5867968 |
| 0.2456 | 1.0001 | 12260 | 0.2171 | 11717296 |
| 0.0183 | 1.5001 | 18390 | 0.1600 | 17588368 |
| 0.0191 | 2.0002 | 24520 | 0.1445 | 23419920 |
| 0.0116 | 2.5002 | 30650 | 0.1618 | 29254768 |
| 0.0151 | 3.0002 | 36780 | 0.1502 | 35127456 |
| 0.0071 | 3.5003 | 42910 | 0.1629 | 40997712 |
| 0.0549 | 4.0003 | 49040 | 0.1801 | 46843184 |
| 0.0045 | 4.5004 | 55170 | 0.1625 | 52692880 |
| 0.0028 | 5.0004 | 61300 | 0.1730 | 58550736 |
| 0.0007 | 5.5004 | 67430 | 0.2433 | 64403536 |
| 0.0019 | 6.0005 | 73560 | 0.2333 | 70253968 |
| 0.1469 | 6.5005 | 79690 | 0.2315 | 76098208 |
| 0.004 | 7.0006 | 85820 | 0.2299 | 81942784 |
| 0.0005 | 7.5006 | 91950 | 0.2834 | 87796256 |
| 0.0006 | 8.0007 | 98080 | 0.2994 | 93652576 |
| 0.0 | 8.5007 | 104210 | 0.3707 | 99519344 |
| 0.0 | 9.0007 | 110340 | 0.3787 | 105351168 |
| 0.0 | 9.5008 | 116470 | 0.4142 | 111213008 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |