metadata
library_name: peft
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: aace3ccc-b6be-42ee-917a-713d9113b84f
results: []
aace3ccc-b6be-42ee-917a-713d9113b84f
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: 1.0743
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: 0.000202
- train_batch_size: 4
- eval_batch_size: 4
- seed: 20
- 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 | 0.0008 | 1 | 1.7006 |
| 1.1833 | 0.0384 | 50 | 1.2861 |
| 1.1413 | 0.0768 | 100 | 1.2480 |
| 1.1248 | 0.1152 | 150 | 1.1813 |
| 1.1388 | 0.1536 | 200 | 1.1776 |
| 1.0875 | 0.1919 | 250 | 1.1600 |
| 1.1038 | 0.2303 | 300 | 1.1192 |
| 1.1154 | 0.2687 | 350 | 1.0887 |
| 1.0859 | 0.3071 | 400 | 1.0712 |
| 1.0996 | 0.3455 | 450 | 1.0731 |
| 1.066 | 0.3839 | 500 | 1.0743 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1