metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
- llama-factory
- transformers
pipeline_tag: text-generation
model-index:
- name: train_mrpc_101112_1760638017
results: []
train_mrpc_101112_1760638017
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the mrpc dataset. It achieves the following results on the evaluation set:
- Loss: 0.9237
- Num Input Tokens Seen: 6014512
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: 101112
- 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 |
|---|---|---|---|---|
| 0.1553 | 2.0 | 1468 | 0.1782 | 601520 |
| 0.1411 | 4.0 | 2936 | 0.1616 | 1201552 |
| 0.1154 | 6.0 | 4404 | 0.2181 | 1803312 |
| 0.165 | 8.0 | 5872 | 0.2984 | 2405152 |
| 0.0167 | 10.0 | 7340 | 0.4961 | 3007040 |
| 0.237 | 12.0 | 8808 | 0.5478 | 3609392 |
| 0.0 | 14.0 | 10276 | 0.7023 | 4210592 |
| 0.0 | 16.0 | 11744 | 0.9020 | 4811824 |
| 0.0 | 18.0 | 13212 | 0.9190 | 5413152 |
| 0.0 | 20.0 | 14680 | 0.9237 | 6014512 |
Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4