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README
License: otherModel description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0379 | 0.1529 | 100 | 1.0443 |
| 0.9633 | 0.3057 | 200 | 0.9929 |
| 0.9609 | 0.4586 | 300 | 0.9692 |
| 0.9421 | 0.6114 | 400 | 0.9554 |
| 0.9308 | 0.7643 | 500 | 0.9470 |
| 0.9287 | 0.9172 | 600 | 0.9441 |
| 0.9246 | 1.0 | 655 | 0.9440 |
Framework versions
- Transformers 5.5.3
- Pytorch 2.11.0+cu129
- Datasets 3.6.0
- Tokenizers 0.22.2
Model provider
andyc03
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this model
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Video, Text, Image
Output
Text
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