e6098238-eb4d-4142-83ef-6cfa13943978
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: 1.0734
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: 0.000207
- train_batch_size: 4
- eval_batch_size: 4
- seed: 70
- 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 | 1.6995 |
| 1.1509 | 0.0384 | 50 | 1.1970 |
| 1.1506 | 0.0768 | 100 | 1.2708 |
| 1.0385 | 0.1152 | 150 | 1.1850 |
| 1.1007 | 0.1536 | 200 | 1.1791 |
| 1.1173 | 0.1919 | 250 | 1.1648 |
| 1.1066 | 0.2303 | 300 | 1.1257 |
| 1.106 | 0.2687 | 350 | 1.0944 |
| 1.0349 | 0.3071 | 400 | 1.0797 |
| 1.0559 | 0.3455 | 450 | 1.0759 |
| 1.0046 | 0.3839 | 500 | 1.0734 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso07/e6098238-eb4d-4142-83ef-6cfa13943978
Base model
Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B