Training in progress, step 35000
Browse files
README.md
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---
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base_model: gpt2
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datasets:
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-
-
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library_name: Distily
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license: creativeml-openrail-m
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tags:
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Distilled with [Distily](https://github.com/lapp0/distily) library
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using teacher model [gpt2](https://huggingface.co/gpt2)
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on dataset [
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment.
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# Resource Usage
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- Max Train VRAM Use: 15.
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- Available VRAM: 23.
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- GPUs:
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- 1x NVIDIA GeForce RTX 4090
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- CPUs:
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- CPU Memory:
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- CPU Memory Bandwidth:
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# Distillation (Teacher -> Student) Architecture Difference:
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<br/>
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# Train Dataset
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Trained on
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- Num Samples: `998,000`
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- Subset: `None`
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@@ -172,7 +172,7 @@ The following hyperparameters were used during training:
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projector='orthogonal'
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)
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)`
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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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- teacher_model_name_or_path: `gpt2`
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- teacher_load_in_8bit: `False`
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- teacher_load_in_4bit: `False`
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- dataset_uri: `
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- dataset_subset: `None`
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- dataset_split: `train`
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- dataset_column_name: `text`
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- dataset_sample_size: `1000000`
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- dataset_test_size: `0.002`
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- dataset_shuffle: `
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- dataset_shuffle_seed: `42`
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- dataset_trust_remote_code: `
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- gradient_accumulation_steps: `1`
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- weight_decay: `0.0`
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- max_grad_norm: `1.0`
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---
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base_model: gpt2
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datasets:
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- distily/filtered_redpajama_multilingual
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library_name: Distily
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license: creativeml-openrail-m
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tags:
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Distilled with [Distily](https://github.com/lapp0/distily) library
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using teacher model [gpt2](https://huggingface.co/gpt2)
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on dataset [distily/filtered_redpajama_multilingual](https://huggingface.co/datasets/distily/filtered_redpajama_multilingual).
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment.
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# Resource Usage
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- Max Train VRAM Use: 15.7151 GB
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- Available VRAM: 23.6497 GB
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- GPUs:
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- 1x NVIDIA GeForce RTX 4090
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+
- CPUs: 28
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- CPU Memory: 62.6429 GB
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- CPU Memory Bandwidth: 700 GB/s
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# Distillation (Teacher -> Student) Architecture Difference:
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<br/>
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# Train Dataset
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Trained on 662,561,960 tokens from the [distily/filtered_redpajama_multilingual](https://huggingface.co/datasets/distily/filtered_redpajama_multilingual) dataset.
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- Num Samples: `998,000`
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- Subset: `None`
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projector='orthogonal'
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)
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)`
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+
- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7fde6c1b6bf0>`
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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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- teacher_model_name_or_path: `gpt2`
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- teacher_load_in_8bit: `False`
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- teacher_load_in_4bit: `False`
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+
- dataset_uri: `distily/filtered_redpajama_multilingual`
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- dataset_subset: `None`
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- dataset_split: `train`
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- dataset_column_name: `text`
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- dataset_sample_size: `1000000`
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- dataset_test_size: `0.002`
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+
- dataset_shuffle: `False`
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- dataset_shuffle_seed: `42`
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+
- dataset_trust_remote_code: `False`
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- gradient_accumulation_steps: `1`
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- weight_decay: `0.0`
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- max_grad_norm: `1.0`
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logs/dataset_split=train, dataset_subset=None, dataset_uri=distily_filtered_redpajama_en, lr_scheduler_kwargs=None, lr_scheduler_type=constant/events.out.tfevents.1725843275.32a7ca12a2ec
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model.safetensors
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training_args.bin
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