metadata
library_name: peft
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: tinyllama_ft_full_5k_sample
results: []
tinyllama_ft_full_5k_sample
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8222
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9059 | 0.256 | 20 | 1.8654 |
| 1.8532 | 0.512 | 40 | 1.8407 |
| 1.8333 | 0.768 | 60 | 1.8315 |
| 1.8178 | 1.0128 | 80 | 1.8279 |
| 1.8366 | 1.2688 | 100 | 1.8257 |
| 1.8249 | 1.5248 | 120 | 1.8241 |
| 1.7824 | 1.7808 | 140 | 1.8230 |
| 1.8051 | 2.0256 | 160 | 1.8222 |
| 1.7722 | 2.2816 | 180 | 1.8225 |
| 1.7967 | 2.5376 | 200 | 1.8223 |
| 1.7583 | 2.7936 | 220 | 1.8222 |
Framework versions
- PEFT 0.17.1
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4