End of training
Browse files
README.md
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@@ -38,9 +38,6 @@ The following hyperparameters were used during training:
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 64
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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_ratio: 0.1
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@@ -51,7 +48,7 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Contrastive Loss | Diversity Loss |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:--------------:|
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| No log | 1.0 |
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### Framework versions
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| 38 |
- eval_batch_size: 16
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| 39 |
- seed: 42
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| 40 |
- distributed_type: multi-GPU
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| 41 |
- 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_ratio: 0.1
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| Training Loss | Epoch | Step | Validation Loss | Contrastive Loss | Diversity Loss |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:--------------:|
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+
| No log | 1.0 | 8 | 1965.5140 | 1933.3790 | 321.3505 |
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### Framework versions
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