e2db0df5-f2db-405b-8035-0ef1081f842e
This model is a fine-tuned version of aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1519
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: 0.000211
- 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 | 0.0008 | 1 | 1.5832 |
| 0.5721 | 0.0419 | 50 | 0.3910 |
| 0.2654 | 0.0838 | 100 | 0.3669 |
| 0.2258 | 0.1257 | 150 | 0.3803 |
| 0.2053 | 0.1676 | 200 | 0.3096 |
| 0.3191 | 0.2095 | 250 | 0.2222 |
| 0.2091 | 0.2514 | 300 | 0.2126 |
| 0.237 | 0.2933 | 350 | 0.1752 |
| 0.3985 | 0.3351 | 400 | 0.1655 |
| 0.1278 | 0.3770 | 450 | 0.1536 |
| 0.1066 | 0.4189 | 500 | 0.1519 |
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 lesso11/e2db0df5-f2db-405b-8035-0ef1081f842e
Base model
meta-llama/Meta-Llama-3-8B-Instruct