experiments
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: 0.2875
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2219 | 1.0 | 1 | 0.2899 |
| 0.0755 | 1.33 | 2 | 0.2873 |
| 0.1392 | 2.0 | 3 | 0.2835 |
| 0.0996 | 2.67 | 4 | 0.2866 |
| 0.0553 | 3.0 | 5 | 0.2875 |
Framework versions
- PEFT 0.11.1
- Transformers 4.36.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
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Model tree for trungtienluong/experiments_22c_1t6
Base model
vilm/vinallama-7b-chat