metadata
library_name: peft
base_model: TitanML/tiny-mixtral
tags:
- axolotl
- generated_from_trainer
model-index:
- name: d89cfe56-896b-489c-8b56-081fce921659
results: []
d89cfe56-896b-489c-8b56-081fce921659
This model is a fine-tuned version of TitanML/tiny-mixtral on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.4571
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: 0.000215
- train_batch_size: 4
- eval_batch_size: 4
- seed: 150
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 392
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0026 | 1 | 10.5679 |
| 9.007 | 0.1277 | 50 | 9.0076 |
| 8.7811 | 0.2554 | 100 | 8.7857 |
| 8.625 | 0.3831 | 150 | 8.6873 |
| 8.5906 | 0.5109 | 200 | 8.5758 |
| 8.4273 | 0.6386 | 250 | 8.4945 |
| 8.4074 | 0.7663 | 300 | 8.4693 |
| 8.3678 | 0.8940 | 350 | 8.4571 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1