metadata
library_name: peft
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: acf64dce-cea8-4814-a6b7-8431a0af1247
results: []
acf64dce-cea8-4814-a6b7-8431a0af1247
This model is a fine-tuned version of Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2162
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: 0.000203
- train_batch_size: 4
- eval_batch_size: 4
- seed: 30
- 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 | 1.6953 |
| 0.5842 | 0.0307 | 50 | 0.7501 |
| 0.579 | 0.0613 | 100 | 0.7242 |
| 0.5286 | 0.0920 | 150 | 0.5108 |
| 0.4783 | 0.1226 | 200 | 0.4689 |
| 0.345 | 0.1533 | 250 | 0.4471 |
| 0.3257 | 0.1839 | 300 | 0.3584 |
| 0.3528 | 0.2146 | 350 | 0.2692 |
| 0.2959 | 0.2452 | 400 | 0.2352 |
| 0.3381 | 0.2759 | 450 | 0.2182 |
| 0.2557 | 0.3066 | 500 | 0.2162 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1