9a5227b2-dcef-4b7c-ac36-d9dd382dd889
This model is a fine-tuned version of TinyLlama/TinyLlama_v1.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6620
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:
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0001 | 1 | 7.4703 |
| 2.7397 | 0.0098 | 150 | 3.1231 |
| 2.6817 | 0.0196 | 300 | 2.8731 |
| 2.6155 | 0.0294 | 450 | 2.7856 |
| 2.64 | 0.0392 | 600 | 2.7420 |
| 2.5454 | 0.0490 | 750 | 2.7196 |
| 2.6233 | 0.0588 | 900 | 2.7128 |
| 2.4938 | 0.0686 | 1050 | 2.6984 |
| 2.5522 | 0.0784 | 1200 | 2.6876 |
| 2.5508 | 0.0882 | 1350 | 2.6807 |
| 2.5735 | 0.0980 | 1500 | 2.6732 |
| 2.5116 | 0.1078 | 1650 | 2.6669 |
| 2.5012 | 0.1176 | 1800 | 2.6641 |
| 2.5599 | 0.1274 | 1950 | 2.6620 |
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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Base model
TinyLlama/TinyLlama_v1.1