---
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_123_1764974431
  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_123_1764974431

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: 0.5540
- Num Input Tokens Seen: 264547520

## 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: 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: 20

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.1392        | 1.0   | 6130   | 0.1364          | 13255424          |
| 0.0776        | 2.0   | 12260  | 0.1306          | 26471216          |
| 0.0857        | 3.0   | 18390  | 0.1191          | 39694112          |
| 0.024         | 4.0   | 24520  | 0.1130          | 52929744          |
| 0.0926        | 5.0   | 30650  | 0.1113          | 66152480          |
| 0.0768        | 6.0   | 36780  | 0.1107          | 79389648          |
| 0.0824        | 7.0   | 42910  | 0.1156          | 92621824          |
| 0.0343        | 8.0   | 49040  | 0.1119          | 105830544         |
| 0.0227        | 9.0   | 55170  | 0.1227          | 119047920         |
| 0.0474        | 10.0  | 61300  | 0.1268          | 132272272         |
| 0.0968        | 11.0  | 67430  | 0.1396          | 145487264         |
| 0.1417        | 12.0  | 73560  | 0.1472          | 158737232         |
| 0.0084        | 13.0  | 79690  | 0.1756          | 171979232         |
| 0.0019        | 14.0  | 85820  | 0.1946          | 185199728         |
| 0.0014        | 15.0  | 91950  | 0.2322          | 198426688         |
| 0.0046        | 16.0  | 98080  | 0.2587          | 211640976         |
| 0.0021        | 17.0  | 104210 | 0.2946          | 224870720         |
| 0.0003        | 18.0  | 110340 | 0.3278          | 238102672         |
| 0.0007        | 19.0  | 116470 | 0.3455          | 251320768         |
| 0.0004        | 20.0  | 122600 | 0.3436          | 264547520         |


### Framework versions

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