---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- p-tuning
- generated_from_trainer
model-index:
- name: train_multirc_42_1762240404
  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_1762240404

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: 0.2360
- Num Input Tokens Seen: 264840880

## 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: 0.001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.1799        | 1.0   | 6130   | 0.1399          | 13256608          |
| 0.0262        | 2.0   | 12260  | 0.1308          | 26510112          |
| 0.0511        | 3.0   | 18390  | 0.1234          | 39755376          |
| 0.2173        | 4.0   | 24520  | 0.1261          | 53010912          |
| 0.1424        | 5.0   | 30650  | 0.1210          | 66248576          |
| 0.0721        | 6.0   | 36780  | 0.1252          | 79495984          |
| 0.1325        | 7.0   | 42910  | 0.1301          | 92713360          |
| 0.0358        | 8.0   | 49040  | 0.1273          | 105934480         |
| 0.2284        | 9.0   | 55170  | 0.1313          | 119164864         |
| 0.0154        | 10.0  | 61300  | 0.1411          | 132392640         |
| 0.2095        | 11.0  | 67430  | 0.1629          | 145641920         |
| 0.0057        | 12.0  | 73560  | 0.1854          | 158902432         |
| 0.0084        | 13.0  | 79690  | 0.1977          | 172144032         |
| 0.2741        | 14.0  | 85820  | 0.2317          | 185378480         |
| 0.1494        | 15.0  | 91950  | 0.2368          | 198621168         |
| 0.0007        | 16.0  | 98080  | 0.2623          | 211855376         |
| 0.0111        | 17.0  | 104210 | 0.2967          | 225105296         |
| 0.0617        | 18.0  | 110340 | 0.3215          | 238352272         |
| 0.0019        | 19.0  | 116470 | 0.3441          | 251594480         |
| 0.0014        | 20.0  | 122600 | 0.3499          | 264840880         |


### Framework versions

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