End of training

README.md

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+---
+base_model: gpt2
+datasets:
+- wikimedia/wikipedia
+library_name: Distily
+license: mit
+tags:
+- bitnet
+- 1.58b
+- generated_from_trainer
+model-index:
+- name: distily_projector_experiment
+  results: []
+---
+
+
+# Summary
+
+Distilled with [Distily](https://github.com/lapp0/distily) library
+using teacher model [gpt2](https://huggingface.co/gpt2)
+on dataset [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia).
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment.
+
+# Model description
+
+More information needed
+
+# Intended uses & limitations
+
+More information needed
+-->
+
+# Model Architecture:
+- **Architecture**: `GPT2LMHeadModel`
+- **Total Parameters**: 124,439,808
+- **Data Type (dtype)**: torch.bfloat16
+- **Model Size**: 0.24 GB
+
+
+# Evaluation Metrics Comparison
+
+| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
+| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
+| **teacher eval** |  | 43.25 | 61.25 |  |  |  |  | 11.6875 | 19.125 |
+| 0 | 0 | 1460288880640.0 | 113799453474816.0 | 20.3200 | 25.9904 | 96.189 | 12.043 | 7247757312.0 | 18966575579136.0 |
+| 2500 | 0.0404 | 896.0 | 5856.0 | 2.1915 | 26.0834 | 95.846 | 12.0 | 604.0 | 11200.0 |
+| 5000 | 0.0808 | 330.0 | 1424.0 | 1.5171 | 26.0834 | 95.847 | 12.0 | 262.0 | 296.0 |
+| 7500 | 0.1212 | 210.0 | 816.0 | 1.2547 | 26.1072 | 95.759 | 11.989 | 188.0 | 162.0 |
+| 10000 | 0.1616 | 162.0 | 584.0 | 1.0555 | 26.1053 | 95.766 | 11.99 | 131.0 | 124.5 |
+| 12500 | 0.2020 | 114.5 | 466.0 | 0.8387 | 26.1335 | 95.663 | 11.977 | 88.5 | 139.0 |
+| 15000 | 0.2424 | 100.0 | 384.0 | 0.7409 | 26.0745 | 95.879 | 12.004 | 77.0 | 130.0 |
+| 17500 | 0.2828 | 87.0 | 336.0 | 0.6531 | 26.124 | 95.698 | 11.981 | 66.5 | 114.5 |
+| 20000 | 0.3232 | 75.5 | 286.0 | 0.5932 | 26.1016 | 95.78 | 11.992 | 66.5 | 104.5 |
+| 22500 | 0.3636 | 67.5 | 232.0 | 0.5080 | 26.1245 | 95.696 | 11.981 | 53.75 | 106.5 |
+| 25000 | 0.4040 | 64.5 | 223.0 | 0.4751 | 26.0572 | 95.943 | 12.012 | 50.5 | 89.5 |
+| 27500 | 0.4444 | 64.0 | 207.0 | 0.4674 | 26.1072 | 95.759 | 11.989 | 49.25 | 159.0 |
+| 30000 | 0.4848 | 65.0 | 204.0 | 0.4668 | 26.047 | 95.98 | 12.017 | 49.5 | 100.5 |
+| 32500 | 0.5253 | 65.5 | 215.0 | 0.4567 | 26.0814 | 95.854 | 12.001 | 48.5 | 85.0 |
+| 35000 | 0.5657 | 63.25 | 188.0 | 0.4214 | 26.0269 | 96.054 | 12.026 | 45.25 | 107.0 |
+| 37500 | 0.6061 | 62.0 | 181.0 | 0.4092 | 26.0391 | 96.009 | 12.02 | 41.75 | 109.0 |
+| 40000 | 0.6465 | 59.25 | 178.0 | 0.3990 | 26.0153 | 96.097 | 12.031 | 40.75 | 93.0 |
+| 42500 | 0.6869 | 59.25 | 190.0 | 0.3829 | 26.1161 | 95.726 | 11.985 | 40.75 | 76.0 |
+| 45000 | 0.7273 | 53.75 | 148.0 | 0.3251 | 26.0653 | 95.913 | 12.008 | 36.0 | 72.0 |
+| 47500 | 0.7677 | 52.25 | 141.0 | 0.3087 | 26.1075 | 95.758 | 11.989 | 33.75 | 53.25 |
+| 50000 | 0.8081 | 50.75 | 138.0 | 0.2983 | 26.0725 | 95.886 | 12.005 | 34.0 | 38.5 |
+| 52500 | 0.8485 | 51.25 | 134.0 | 0.2931 | 26.0671 | 95.906 | 12.007 | 33.5 | 42.0 |
+| 55000 | 0.8889 | 50.0 | 131.0 | 0.2816 | 26.0871 | 95.833 | 11.998 | 32.5 | 36.0 |
+| 57500 | 0.9293 | 49.75 | 131.0 | 0.2777 | 26.0528 | 95.959 | 12.014 | 32.0 | 35.5 |
+| 60000 | 0.9697 | 49.5 | 131.0 | 0.2760 | 26.0611 | 95.928 | 12.01 | 31.875 | 34.25 |
+| 61875 | 1.0 | 49.5 | 131.0 | 0.2757 | 26.0451 | 95.987 | 12.018 | 31.875 | 34.25 |
+
+# Resource Usage Comparison
+
+- VRAM Use: 7.5008 GB
+
+# Distillation (Teacher -> Student) Architecture Difference:
+
+- **Architecture**: `GPT2LMHeadModel` -> `GPT2LMHeadModel`
+- **Total Parameters**: 124,439,808 -> 124,439,808
+- **Data Type (dtype)**: torch.bfloat16 -> torch.bfloat16
+- **Model Size**: 0.24 GB -> 0.24 GB
+
+<details>
+<summary>Module Diff Details</summary>
+
+```diff
+
+```
+
+</details>
+<br/>
+
+# Train Dataset
+Trained on 145,756,992 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
+
+- Num Samples: `247,500`
+- Subset: `20231101.en`
+- Split: `train`
+
+
+# Training Objective
+
+```
+DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl))
+```
+
+# Hyperparameters
+The following hyperparameters were used during training:
+
+<details>
+<summary>Expand</summary>
+
+- learning_rate: `0.0001`
+- train_batch_size: `4`
+- eval_batch_size: `8`
+- seed: `42`
+- optimizer: `Adam with betas=(0.9,0.999) and epsilon=1e-08`
+- lr_scheduler_type: `linear`
+- lr_scheduler_warmup_ratio: `0.5`
+- num_epochs: `1.0`
+- distillation_objective: `DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl))`
+- train_embeddings: `True`
+- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f48441cc250>`
+- student_model_name_or_path: `None`
+- student_config_name_or_path: `None`
+- student_model_config: `None`
+- reinitialize_weights: `None`
+- copy_teacher_modules: `[('lm_head', False)]`
+- student_model_as_bitnet: `True`
+- student_model_compile: `False`
+- dropout: `None`
+- teacher_model_name_or_path: `gpt2`
+- teacher_load_in_8bit: `False`
+- teacher_load_in_4bit: `False`
+- teacher_model_compile: `False`
+- dataset_uri: `wikimedia/wikipedia`
+- dataset_subset: `20231101.en`
+- dataset_split: `train`
+- dataset_column_name: `text`
+- dataset_sample_size: `250000`
+- dataset_test_size: `0.01`
+- gradient_accumulation_steps: `1`
+- weight_decay: `0.0`
+- max_grad_norm: `1.0`
+- warmup_ratio: `0.5`
+- warmup_steps: `0`
+- gradient_checkpointing: `True`
+
+</details>
+<br/>
+
+
+# Framework Versions
+- Distily 0.2.0
+- Transformers 4.44.1
+- Pytorch 2.3.0
+- Datasets 2.21.0

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.1",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.44.1"
+}

logs/projector=linear/events.out.tfevents.1724270239.e3f806ea38c9

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logs/projector=orthogonal/events.out.tfevents.1724270153.e3f806ea38c9

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model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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