e09c1903-89ed-4406-8155-01eadf3b8d77
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: 0.9177
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: 0.000217
- 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 | 0.0004 | 1 | 1.6687 |
| 1.0486 | 0.0213 | 50 | 1.2570 |
| 0.9823 | 0.0425 | 100 | 1.1912 |
| 1.1053 | 0.0638 | 150 | 1.2409 |
| 1.1105 | 0.0850 | 200 | 1.1848 |
| 0.9607 | 0.1063 | 250 | 1.0670 |
| 0.9153 | 0.1276 | 300 | 1.0058 |
| 1.016 | 0.1488 | 350 | 0.9650 |
| 1.1709 | 0.1701 | 400 | 0.9385 |
| 1.0365 | 0.1913 | 450 | 0.9181 |
| 0.8909 | 0.2126 | 500 | 0.9177 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- 8
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for lesso17/e09c1903-89ed-4406-8155-01eadf3b8d77
Base model
Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B