ec9aea72-4bb6-4e15-941d-ac90718e204a
This model is a fine-tuned version of unsloth/Phi-3.5-mini-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 15.0925
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: 0.00021
- 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 | 0.0000 | 1 | 10.3650 |
| 9.05 | 0.0014 | 50 | 12.0300 |
| 13.4947 | 0.0028 | 100 | 13.8441 |
| 13.0542 | 0.0041 | 150 | 14.2274 |
| 14.9767 | 0.0055 | 200 | 15.0925 |
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
- 7
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 lesso10/ec9aea72-4bb6-4e15-941d-ac90718e204a
Base model
microsoft/Phi-3.5-mini-instruct
Finetuned
unsloth/Phi-3.5-mini-instruct