lapp0 commited on
Commit
600800d
1 Parent(s): 6d9a2f4

Training in progress, step 123750

Browse files
README.md CHANGED
@@ -44,7 +44,7 @@ More information needed
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  # Resource Usage Comparison
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- - VRAM Use: 15.6974 GB
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  # Distillation (Teacher -> Student) Architecture Difference:
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@@ -85,7 +85,7 @@ Trained on 521,413,804 tokens from the [wikimedia/wikipedia](https://huggingface
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  # Training Objective
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  ```
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- DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=5, loss_fn=raw_mse, layer_mapper=layer-2, norm=instancenorm, projector=mlp))
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  ```
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  # Hyperparameters
@@ -101,9 +101,9 @@ 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: `polynomial`
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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=5, loss_fn=raw_mse, layer_mapper=layer-2, norm=instancenorm, projector=mlp))`
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  - train_embeddings: `True`
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- - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f45bc61b9a0>`
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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`
@@ -135,4 +135,4 @@ The following hyperparameters were used during training:
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  - Distily 0.4.1
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  - Transformers 4.44.2
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  - Pytorch 2.4.0+cu121
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- - Datasets 2.21.0
 
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  # Resource Usage Comparison
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+ - VRAM Use: 15.7006 GB
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  # Distillation (Teacher -> Student) Architecture Difference:
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  # Training Objective
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  ```
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+ DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=5, loss_fn=raw_mse, layer_mapper=layer-2, norm=instancenorm, projector=orthogonal))
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  ```
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  # Hyperparameters
 
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  - optimizer: `Adam with betas=(0.9,0.999) and epsilon=1e-08`
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  - lr_scheduler_type: `polynomial`
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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=5, loss_fn=raw_mse, layer_mapper=layer-2, norm=instancenorm, projector=orthogonal))`
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  - train_embeddings: `True`
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+ - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f3b7476a560>`
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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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  - Distily 0.4.1
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  - Transformers 4.44.2
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  - Pytorch 2.4.0+cu121
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+ - Datasets 2.18.0
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