ecc2b8dc-3f2b-485b-ad43-af7d64536eea
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: 0.3961
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 | 0.0002 | 1 | 0.9534 |
0.5504 | 0.0104 | 50 | 0.5831 |
0.6452 | 0.0208 | 100 | 0.5537 |
0.5554 | 0.0312 | 150 | 0.5378 |
0.566 | 0.0416 | 200 | 0.5338 |
0.4541 | 0.0520 | 250 | 0.5013 |
0.4437 | 0.0624 | 300 | 0.4651 |
0.4195 | 0.0728 | 350 | 0.4388 |
0.4642 | 0.0832 | 400 | 0.4156 |
0.3864 | 0.0936 | 450 | 0.3997 |
0.4153 | 0.1040 | 500 | 0.3961 |
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/ecc2b8dc-3f2b-485b-ad43-af7d64536eea
Base model
upstage/SOLAR-10.7B-v1.0
Finetuned
NousResearch/Nous-Hermes-2-SOLAR-10.7B