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_multi_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 | 2130303778816.0 | 135239930216448.0 | 25.4492 | 25.2159 | 99.144 | 12.413 | 10334765056.0 | 38482906972160.0 |
+| 2500 | 0.0404 | 892.0 | 6624.0 | 6.0041 | 25.2726 | 98.921 | 12.385 | 572.0 | 7200.0 |
+| 5000 | 0.0808 | 372.0 | 1912.0 | 5.0307 | 25.3204 | 98.734 | 12.362 | 294.0 | 298.0 |
+| 7500 | 0.1212 | 228.0 | 856.0 | 4.5171 | 25.3333 | 98.684 | 12.355 | 199.0 | 182.0 |
+| 10000 | 0.1616 | 181.0 | 696.0 | 4.2020 | 25.3363 | 98.673 | 12.354 | 152.0 | 171.0 |
+| 12500 | 0.2020 | 125.0 | 478.0 | 3.8242 | 25.3199 | 98.737 | 12.362 | 98.0 | 141.0 |
+| 15000 | 0.2424 | 114.5 | 414.0 | 3.6365 | 25.3181 | 98.744 | 12.363 | 81.0 | 143.0 |
+| 17500 | 0.2828 | 97.5 | 346.0 | 3.5083 | 25.3564 | 98.595 | 12.344 | 79.0 | 102.0 |
+| 20000 | 0.3232 | 76.0 | 290.0 | 3.3324 | 25.2953 | 98.833 | 12.374 | 66.5 | 106.0 |
+| 22500 | 0.3636 | 66.5 | 215.0 | 3.1472 | 25.3749 | 98.523 | 12.335 | 50.5 | 82.0 |
+| 25000 | 0.4040 | 60.0 | 197.0 | 3.0655 | 25.3266 | 98.711 | 12.359 | 47.25 | 65.0 |
+| 27500 | 0.4444 | 61.75 | 197.0 | 3.0053 | 25.3492 | 98.622 | 12.348 | 43.0 | 80.0 |
+| 30000 | 0.4848 | 60.0 | 182.0 | 2.9949 | 25.3186 | 98.741 | 12.362 | 43.5 | 68.5 |
+| 32500 | 0.5253 | 59.75 | 179.0 | 2.9704 | 25.3443 | 98.642 | 12.35 | 40.25 | 83.5 |
+| 35000 | 0.5657 | 57.5 | 175.0 | 2.9129 | 25.3354 | 98.676 | 12.354 | 38.25 | 64.5 |
+| 37500 | 0.6061 | 58.75 | 183.0 | 2.8906 | 25.3463 | 98.634 | 12.349 | 36.75 | 62.5 |
+| 40000 | 0.6465 | 54.75 | 157.0 | 2.8612 | 25.3397 | 98.659 | 12.352 | 37.25 | 56.5 |
+| 42500 | 0.6869 | 55.25 | 168.0 | 2.8460 | 25.3447 | 98.64 | 12.35 | 36.5 | 54.75 |
+| 45000 | 0.7273 | 50.5 | 135.0 | 2.7442 | 25.34 | 98.658 | 12.352 | 30.125 | 42.5 |
+| 47500 | 0.7677 | 50.25 | 129.0 | 2.7166 | 25.3456 | 98.637 | 12.349 | 30.75 | 39.5 |
+| 50000 | 0.8081 | 49.75 | 132.0 | 2.7034 | 25.2334 | 99.075 | 12.404 | 29.5 | 41.75 |
+| 52500 | 0.8485 | 48.5 | 129.0 | 2.6925 | 25.3023 | 98.805 | 12.37 | 28.875 | 37.25 |
+| 55000 | 0.8889 | 48.5 | 127.5 | 2.6764 | 25.2784 | 98.898 | 12.382 | 28.25 | 34.5 |
+| 57500 | 0.9293 | 48.25 | 122.0 | 2.6696 | 25.3217 | 98.729 | 12.361 | 28.25 | 33.75 |
+| 60000 | 0.9697 | 48.25 | 121.5 | 2.6663 | 25.3402 | 98.657 | 12.352 | 28.0 | 33.5 |
+| 61875 | 1.0 | 48.25 | 121.5 | 2.6658 | 25.2795 | 98.895 | 12.382 | 28.0 | 33.5 |
+
+# Resource Usage Comparison
+
+- VRAM Use: 7.7830 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 145,721,245 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), attn_loss_component=LossComponent(label=attn, weight=5, loss_fn=cos, layer_mapper=layer-2))
+```
+
+# 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), attn_loss_component=LossComponent(label=attn, weight=5, loss_fn=cos, layer_mapper=layer-2))`
+- train_embeddings: `True`
+- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f148c97c340>`
+- 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 2.5.0.dev20240821+cu121
+- 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

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.44.1"
+}

logs/attn_loss_fn=cos, attn_weight=5, layer_mapper=all, projector=linear/events.out.tfevents.1724328160.e3f806ea38c9

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logs/attn_loss_fn=cos, attn_weight=5, layer_mapper=all, projector=linear/events.out.tfevents.1724336143.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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