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---
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-test3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tinyllama-1.1b-sft-test3
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2259
## 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: 16
- eval_batch_size: 10
- seed: 4234
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.3312 | 0.0778 | 20 | 0.2974 |
| 0.3523 | 0.1556 | 40 | 0.2538 |
| 0.2853 | 0.2335 | 60 | 0.2694 |
| 0.2953 | 0.3113 | 80 | 0.2519 |
| 0.3104 | 0.3891 | 100 | 0.2379 |
| 0.3664 | 0.4669 | 120 | 0.2325 |
| 0.3484 | 0.5447 | 140 | 0.2302 |
| 0.2604 | 0.6226 | 160 | 0.2322 |
| 0.3282 | 0.7004 | 180 | 0.2232 |
| 0.2788 | 0.7782 | 200 | 0.2250 |
| 0.2589 | 0.8560 | 220 | 0.2260 |
| 0.2551 | 0.9339 | 240 | 0.2259 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1 |