Configuration Parsing Warning:In adapter_config.json: "peft.base_model_name_or_path" must be a string
results
This model is a fine-tuned version of vilm/vinallama-7b-chat on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.9965
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 8 | 7.0496 |
| 7.0614 | 2.0 | 16 | 7.0297 |
| 7.0458 | 3.0 | 24 | 6.9965 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1
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Base model
vilm/vinallama-7b-chat