---
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_42_1762157867
  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_42_1762157867

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: 1.3516
- Num Input Tokens Seen: 235236032

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.3043        | 2.0   | 10898  | 0.3264          | 23532080          |
| 0.2302        | 4.0   | 21796  | 0.2811          | 47052688          |
| 0.3924        | 6.0   | 32694  | 0.2795          | 70559552          |
| 0.5919        | 8.0   | 43592  | 0.4028          | 94090912          |
| 0.2932        | 10.0  | 54490  | 0.4974          | 117581632         |
| 0.1446        | 12.0  | 65388  | 0.7075          | 141126560         |
| 0.0681        | 14.0  | 76286  | 0.9348          | 164667088         |
| 0.0119        | 16.0  | 87184  | 1.1813          | 188204656         |
| 0.0001        | 18.0  | 98082  | 1.3180          | 211741792         |
| 0.0           | 20.0  | 108980 | 1.3516          | 235236032         |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1