Compcap_cooccur_0_20
This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the Compcap_cooccur_0_20 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8597
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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9386 | 0.6757 | 50 | 0.9246 |
| 0.8263 | 1.3514 | 100 | 0.8765 |
| 0.7963 | 2.0270 | 150 | 0.8589 |
| 0.7574 | 2.7027 | 200 | 0.8601 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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Model tree for htlou/backup_0202_llamafactory_Compcap_cooccur_0_20-llava-mistral
Base model
llava-hf/llava-v1.6-mistral-7b-hf