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_cb_456_1760637753
results: []
train_cb_456_1760637753
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the cb dataset. It achieves the following results on the evaluation set:
- Loss: 0.2748
- Num Input Tokens Seen: 648352
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: 456
- 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 |
|---|---|---|---|---|
| 0.1956 | 2.0 | 100 | 0.2038 | 65088 |
| 0.1539 | 4.0 | 200 | 0.1807 | 128896 |
| 0.1384 | 6.0 | 300 | 0.1621 | 193888 |
| 0.2604 | 8.0 | 400 | 0.1874 | 258816 |
| 0.0017 | 10.0 | 500 | 0.2035 | 323328 |
| 0.0008 | 12.0 | 600 | 0.2536 | 388448 |
| 0.0002 | 14.0 | 700 | 0.2883 | 453984 |
| 0.0001 | 16.0 | 800 | 0.2698 | 519200 |
| 0.0001 | 18.0 | 900 | 0.2687 | 583712 |
| 0.0001 | 20.0 | 1000 | 0.2748 | 648352 |
Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4