metadata
library_name: peft
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- generated_from_trainer
model-index:
- name: tinyllama-1.1b-sft-lora
results: []
tinyllama-1.1b-sft-lora
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 4234
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.PAGED_ADAMW 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: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0889 | 2 | nan |
| No log | 0.1778 | 4 | nan |
| 0.0 | 0.2667 | 6 | nan |
| 0.0 | 0.3556 | 8 | nan |
| 0.0 | 0.4444 | 10 | nan |
| 0.0 | 0.5333 | 12 | nan |
| 0.0 | 0.6222 | 14 | nan |
| 0.0 | 0.7111 | 16 | nan |
| 0.0 | 0.8 | 18 | nan |
| 0.0 | 0.8889 | 20 | nan |
| 0.0 | 0.9778 | 22 | nan |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1