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_copa_789_1760637872
results: []
train_copa_789_1760637872
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the copa dataset. It achieves the following results on the evaluation set:
- Loss: 0.6325
- Num Input Tokens Seen: 501888
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: 789
- 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 |
|---|---|---|---|---|
| 0.2428 | 2.0 | 160 | 0.2389 | 50208 |
| 0.2334 | 4.0 | 320 | 0.2317 | 100384 |
| 0.2085 | 6.0 | 480 | 0.2517 | 150400 |
| 0.2214 | 8.0 | 640 | 0.2480 | 200640 |
| 0.2534 | 10.0 | 800 | 0.2512 | 250848 |
| 0.1347 | 12.0 | 960 | 0.3083 | 301088 |
| 0.0685 | 14.0 | 1120 | 0.4576 | 351424 |
| 0.0203 | 16.0 | 1280 | 0.5270 | 401504 |
| 0.0132 | 18.0 | 1440 | 0.6124 | 451648 |
| 0.0032 | 20.0 | 1600 | 0.6325 | 501888 |
Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4