metadata
base_model: ahxt/LiteLlama-460M-1T
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: ColdLLamaLite
results: []
ColdLLamaLite
This model is a fine-tuned version of ahxt/LiteLlama-460M-1T on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0471
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1747 | 0.8 | 25 | 3.9257 |
| 3.626 | 1.6 | 50 | 3.2474 |
| 2.8441 | 2.4 | 75 | 2.4490 |
| 2.3365 | 3.2 | 100 | 2.2482 |
| 2.2153 | 4.0 | 125 | 2.1758 |
| 2.1591 | 4.8 | 150 | 2.1316 |
| 2.1214 | 5.6 | 175 | 2.1011 |
| 2.0946 | 6.4 | 200 | 2.0781 |
| 2.0818 | 7.2 | 225 | 2.0622 |
| 2.0614 | 8.0 | 250 | 2.0528 |
| 2.0571 | 8.8 | 275 | 2.0485 |
| 2.0522 | 9.6 | 300 | 2.0471 |
Framework versions
- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.17.0
- Tokenizers 0.19.1