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End of training

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  1. README.md +8 -12
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0083
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  ## Model description
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@@ -44,22 +44,18 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 2
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.0288 | 1.0 | 8560 | 1.0359 |
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- | 1.0149 | 2.0 | 17120 | 1.0133 |
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- | 1.0197 | 3.0 | 25680 | 1.0096 |
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- | 1.0073 | 4.0 | 34240 | 1.0086 |
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- | 1.0054 | 5.0 | 42800 | 1.0084 |
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- | 1.0112 | 6.0 | 51360 | 1.0083 |
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- | 1.0173 | 7.0 | 59920 | 1.0083 |
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- | 1.0175 | 8.0 | 68480 | 1.0083 |
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- | 1.0181 | 9.0 | 77040 | 1.0082 |
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- | 1.0022 | 10.0 | 85600 | 1.0083 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9127
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 2
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+ - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.9767 | 1.0 | 8560 | 0.9846 |
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+ | 0.9463 | 2.0 | 17120 | 0.9456 |
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+ | 0.9415 | 3.0 | 25680 | 0.9300 |
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+ | 0.9208 | 4.0 | 34240 | 0.9215 |
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+ | 0.9138 | 5.0 | 42800 | 0.9163 |
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+ | 0.9138 | 6.0 | 51360 | 0.9127 |
 
 
 
 
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  ### Framework versions