3955be48-42b0-412f-b21f-fae0c390251e
This model is a fine-tuned version of berkeley-nest/Starling-LM-7B-alpha on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8513
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: 0.000203
- 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: 237
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0042 | 1 | 2.0890 |
| 3.6745 | 0.2114 | 50 | 2.3163 |
| 3.6423 | 0.4228 | 100 | 2.2906 |
| 3.5955 | 0.6342 | 150 | 2.0566 |
| 3.4168 | 0.8457 | 200 | 1.8513 |
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 lesso03/3955be48-42b0-412f-b21f-fae0c390251e
Base model
berkeley-nest/Starling-LM-7B-alpha