metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_record_1753169792
results: []
train_record_1753169792
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the record dataset. It achieves the following results on the evaluation set:
- Loss: 0.5004
- Num Input Tokens Seen: 464483424
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: 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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.989 | 0.5 | 15621 | 1.1066 | 23227520 |
| 1.0018 | 1.0 | 31242 | 0.8499 | 46454112 |
| 0.941 | 1.5 | 46863 | 0.7834 | 69694624 |
| 0.5588 | 2.0 | 62484 | 0.7003 | 92908288 |
| 0.5479 | 2.5 | 78105 | 0.6578 | 116099296 |
| 0.4998 | 3.0 | 93726 | 0.6246 | 139351808 |
| 0.6389 | 3.5 | 109347 | 0.5987 | 162566976 |
| 0.5937 | 4.0 | 124968 | 0.5751 | 185790304 |
| 0.5114 | 4.5 | 140589 | 0.5538 | 208997696 |
| 0.5271 | 5.0 | 156210 | 0.5381 | 232243968 |
| 0.4891 | 5.5 | 171831 | 0.5266 | 255458112 |
| 0.4292 | 6.0 | 187452 | 0.5183 | 278686752 |
| 0.6003 | 6.5 | 203073 | 0.5125 | 301925344 |
| 0.5286 | 7.0 | 218694 | 0.5078 | 325137568 |
| 0.5457 | 7.5 | 234315 | 0.5048 | 348361920 |
| 0.5228 | 8.0 | 249936 | 0.5027 | 371592704 |
| 0.4472 | 8.5 | 265557 | 0.5015 | 394838368 |
| 0.446 | 9.0 | 281178 | 0.5006 | 418033696 |
| 0.5693 | 9.5 | 296799 | 0.5004 | 441282560 |
| 0.5027 | 10.0 | 312420 | 0.5004 | 464483424 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1