lapp0 commited on
Commit
8a31a95
1 Parent(s): 7c3073b

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: 15.7006 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=layernorm_teacher_only, projector=orthogonal))
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  ```
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  # Hyperparameters
@@ -95,15 +95,15 @@ The following hyperparameters were used during training:
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  <summary>Expand</summary>
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  - learning_rate: `0.0002`
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- - train_batch_size: `8`
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  - eval_batch_size: `8`
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  - seed: `42`
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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=layernorm_teacher_only, projector=orthogonal))`
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  - train_embeddings: `True`
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- - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f27381a2740>`
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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`
@@ -133,6 +133,6 @@ The following hyperparameters were used during training:
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  # Framework Versions
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  - Distily 0.4.1
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- - Transformers 4.44.1
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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: 15.6991 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=instance_teacher_only, projector=mlp))
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  ```
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  # Hyperparameters
 
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  <summary>Expand</summary>
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  - learning_rate: `0.0002`
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+ - train_batch_size: `16`
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  - eval_batch_size: `8`
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  - seed: `42`
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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=instance_teacher_only, projector=mlp))`
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  - train_embeddings: `True`
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+ - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f9be8bfd960>`
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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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  # Framework Versions
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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
config.json CHANGED
@@ -40,7 +40,7 @@
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  }
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  },
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  "torch_dtype": "bfloat16",
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- "transformers_version": "4.44.1",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
 
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  }
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  },
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  "torch_dtype": "bfloat16",
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+ "transformers_version": "4.44.2",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
generation_config.json CHANGED
@@ -2,5 +2,5 @@
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  "_from_model_config": true,
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  "bos_token_id": 50256,
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  "eos_token_id": 50256,
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- "transformers_version": "4.44.1"
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  }
 
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  "_from_model_config": true,
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  "bos_token_id": 50256,
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  "eos_token_id": 50256,
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+ "transformers_version": "4.44.2"
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  }
logs/attn_norm=instance_teacher_only, attn_projector=mlp, attn_weight=5, learning_rate=0.0002, per_device_train_batch_size=16, warmup_ratio=0/completed.flag ADDED
File without changes
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