4f35d83d-3ad1-4f5c-92c0-a359b5c32f2a
This model is a fine-tuned version of NousResearch/Nous-Hermes-2-SOLAR-10.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0613
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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 180
- 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 | 0.0003 | 1 | 3.7696 |
0.1433 | 0.0135 | 50 | 0.2180 |
0.8371 | 0.0270 | 100 | 0.7245 |
0.6532 | 0.0405 | 150 | 0.2068 |
0.322 | 0.0540 | 200 | 0.3259 |
0.1313 | 0.0675 | 250 | 0.1371 |
0.1756 | 0.0810 | 300 | 0.1686 |
0.0731 | 0.0945 | 350 | 0.1043 |
0.0535 | 0.1080 | 400 | 0.0716 |
0.0656 | 0.1215 | 450 | 0.0628 |
0.0611 | 0.1350 | 500 | 0.0613 |
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 lesso18/4f35d83d-3ad1-4f5c-92c0-a359b5c32f2a
Base model
upstage/SOLAR-10.7B-v1.0
Finetuned
NousResearch/Nous-Hermes-2-SOLAR-10.7B