metadata
library_name: peft
base_model: jingyeom/seal3.1.6n_7b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 7b377ecd-7e77-465c-afcc-cba370b9c5e5
results: []
7b377ecd-7e77-465c-afcc-cba370b9c5e5
This model is a fine-tuned version of jingyeom/seal3.1.6n_7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8523
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: 0.000214
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0006 | 1 | 1.9465 |
| 0.8747 | 0.0293 | 50 | 1.2186 |
| 0.8156 | 0.0586 | 100 | 1.1785 |
| 0.8325 | 0.0880 | 150 | 1.0621 |
| 0.7726 | 0.1173 | 200 | 1.0214 |
| 0.7815 | 0.1466 | 250 | 0.9988 |
| 0.8154 | 0.1759 | 300 | 0.9346 |
| 0.6438 | 0.2052 | 350 | 0.8879 |
| 0.7983 | 0.2345 | 400 | 0.8639 |
| 0.6763 | 0.2639 | 450 | 0.8545 |
| 0.7375 | 0.2932 | 500 | 0.8523 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1