---
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