qwen2-7b-instruct-tian-test
This model is a fine-tuned version of scb10x/typhoon2-qwen2vl-7b-vision-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1999
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 21.1259 | 2.2857 | 50 | 1.9682 |
| 10.5297 | 4.5714 | 100 | 0.7059 |
| 5.9605 | 6.8571 | 150 | 0.4351 |
| 4.6329 | 9.1429 | 200 | 0.3752 |
| 3.8262 | 11.4286 | 250 | 0.3284 |
| 3.2722 | 13.7143 | 300 | 0.2786 |
| 2.6581 | 16.0 | 350 | 0.1999 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for Sirawipa/qwen2-7b-instruct-tian-test
Base model
Qwen/Qwen2-VL-7B
Finetuned
Qwen/Qwen2-VL-7B-Instruct