phi-sft-lora
This model is a fine-tuned version of microsoft/phi-2 on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:
- Loss: 1.2210
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1971 | 0.05 | 10000 | 1.2409 |
| 1.1911 | 0.1 | 20000 | 1.2349 |
| 1.4103 | 0.14 | 30000 | 1.2317 |
| 1.192 | 0.19 | 40000 | 1.2295 |
| 1.4831 | 0.24 | 50000 | 1.2275 |
| 1.2857 | 0.29 | 60000 | 1.2266 |
| 1.014 | 0.34 | 70000 | 1.2256 |
| 1.2777 | 0.38 | 80000 | 1.2251 |
| 0.9019 | 0.43 | 90000 | 1.2241 |
| 1.1926 | 0.48 | 100000 | 1.2235 |
| 1.2298 | 0.53 | 110000 | 1.2233 |
| 1.1102 | 0.58 | 120000 | 1.2228 |
| 1.3166 | 0.63 | 130000 | 1.2219 |
| 1.1452 | 0.67 | 140000 | 1.2217 |
| 1.308 | 0.72 | 150000 | 1.2217 |
| 0.9096 | 0.77 | 160000 | 1.2215 |
| 1.2817 | 0.82 | 170000 | 1.2211 |
| 1.2904 | 0.87 | 180000 | 1.2211 |
| 0.9066 | 0.91 | 190000 | 1.2210 |
| 1.1807 | 0.96 | 200000 | 1.2210 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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