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_cola_123_1760637701
results: []
train_cola_123_1760637701
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the cola dataset. It achieves the following results on the evaluation set:
- Loss: 0.4581
- Num Input Tokens Seen: 6529824
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: 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 |
|---|---|---|---|---|
| 0.234 | 2.0 | 3420 | 0.2600 | 652256 |
| 0.2307 | 4.0 | 6840 | 0.2553 | 1305952 |
| 0.2532 | 6.0 | 10260 | 0.2660 | 1959072 |
| 0.1979 | 8.0 | 13680 | 0.2601 | 2612576 |
| 0.1931 | 10.0 | 17100 | 0.2997 | 3265472 |
| 0.2323 | 12.0 | 20520 | 0.3114 | 3918784 |
| 0.2111 | 14.0 | 23940 | 0.3606 | 4570784 |
| 0.0853 | 16.0 | 27360 | 0.4002 | 5223456 |
| 0.2509 | 18.0 | 30780 | 0.4484 | 5876864 |
| 0.1481 | 20.0 | 34200 | 0.4581 | 6529824 |
Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4