96abhishekarora
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5ccda53
Modified validation and training for linktransformer model
Browse files- .gitattributes +1 -0
- README.md +3 -3
- model.safetensors +1 -1
.gitattributes
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@@ -38,3 +38,4 @@ pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -97,7 +97,7 @@ The model was trained with the parameters:
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length
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```
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{'batch_size': 64, 'sampler': 'torch.utils.data.dataloader._InfiniteConstantSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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```
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{
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"epochs": 70,
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"evaluation_steps":
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"evaluator": "sentence_transformers.evaluation.SequentialEvaluator.SequentialEvaluator",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps":
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"weight_decay": 0.01
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}
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```
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length 126 with parameters:
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```
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{'batch_size': 64, 'sampler': 'torch.utils.data.dataloader._InfiniteConstantSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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```
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{
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"epochs": 70,
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"evaluation_steps": 63,
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"evaluator": "sentence_transformers.evaluation.SequentialEvaluator.SequentialEvaluator",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps": 8820,
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"weight_decay": 0.01
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}
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```
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model.safetensors
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