End of training
Browse files
README.md
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@@ -94,7 +94,7 @@ The following hyperparameters were used during training:
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<details>
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<summary>Expand</summary>
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- learning_rate: `0.
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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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@@ -104,7 +104,7 @@ The following hyperparameters were used during training:
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- num_epochs: `1.0`
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- distillation_objective: `DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=25, loss_fn=raw_mse, layer_mapper=layer-2, norm=layernorm, projector=orthogonal))`
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- train_embeddings: `True`
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- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at
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- student_model_name_or_path: `None`
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- student_config_name_or_path: `distilbert/distilgpt2`
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- student_model_config: `None`
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<details>
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<summary>Expand</summary>
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- learning_rate: `0.0002`
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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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- num_epochs: `1.0`
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- distillation_objective: `DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=25, loss_fn=raw_mse, layer_mapper=layer-2, norm=layernorm, projector=orthogonal))`
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- train_embeddings: `True`
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- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f057061e860>`
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- student_model_name_or_path: `None`
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- student_config_name_or_path: `distilbert/distilgpt2`
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- student_model_config: `None`
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logs/attn_norm=layernorm, attn_projector=orthogonal, attn_weight=25, learning_rate=0.0002, per_device_train_batch_size=4, warmup_ratio=0.2/events.out.tfevents.1725079806.23668649e3db
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version https://git-lfs.github.com/spec/v1
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oid sha256:8434e213b16a506b5b0c48eb4fe3c924f8cbdd788551ca9d9180c6da0d4130fa
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size 529
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