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SmolVLM-Base-vqav2

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Safetensors
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End of training

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Files changed (12) hide show
  1. README.md +3 -9
  2. adapter_config.json +5 -5
  3. adapter_model.safetensors +1 -1
  4. runs/Mar19_09-24-50_02003f05cd6c/events.out.tfevents.1742376316.02003f05cd6c.284.0 +3 -0
  5. runs/Mar19_09-25-43_02003f05cd6c/events.out.tfevents.1742376345.02003f05cd6c.284.1 +3 -0
  6. runs/Mar19_09-26-09_02003f05cd6c/events.out.tfevents.1742376372.02003f05cd6c.284.2 +3 -0
  7. runs/Mar19_09-27-09_02003f05cd6c/events.out.tfevents.1742376437.02003f05cd6c.284.3 +3 -0
  8. runs/Mar19_09-28-03_02003f05cd6c/events.out.tfevents.1742376486.02003f05cd6c.1055.0 +3 -0
  9. runs/Mar19_09-38-51_02003f05cd6c/events.out.tfevents.1742377132.02003f05cd6c.1055.1 +3 -0
  10. runs/Mar19_09-52-00_02003f05cd6c/events.out.tfevents.1742377921.02003f05cd6c.1055.2 +3 -0
  11. runs/Mar19_09-54-40_02003f05cd6c/events.out.tfevents.1742378085.02003f05cd6c.1312.0 +3 -0
  12. training_args.bin +1 -1
README.md CHANGED
@@ -34,19 +34,13 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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- - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 16
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  - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 50
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- - num_epochs: 1
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-
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- ### Training results
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-
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-
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  ### Framework versions
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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+ - train_batch_size: 6
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  - eval_batch_size: 8
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  - seed: 42
 
 
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  - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 25
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+ - num_epochs: 5
 
 
 
 
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  ### Framework versions
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adapter_config.json CHANGED
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