End of training

README.md

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+---
+base_model: gpt2
+library_name: Distily
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: distily_bench_obj_cross_v2.15_gpt2
+  results: []
+---
+
+# distily_bench_obj_cross_v2.15_gpt2
+
+This student model is distilled from the teacher model [gpt2](https://huggingface.co/gpt2) using the dataset (unspecified).
+
+The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
+
+It achieves the following results on the evaluation set:
+- eval_enwikippl: 2352.0
+- eval_frwikippl: 10240.0
+- eval_zhwikippl: 109056.0
+- eval_tinystoriesppl: 1920.0
+- eval_loss: 2.6449
+- eval_runtime: 17.0132
+- eval_samples_per_second: 58.778
+- eval_steps_per_second: 7.347
+
+<!-- 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
+
+## Training and evaluation data
+
+More information needed
+-->
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- distillation_objective: DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl, layer_mapper=None, projector=None), hs_loss_component=LossComponent(label=hs, weight=1.0, loss_fn=mse, layer_mapper=last, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
+- train_embeddings: True
+- learning_rate: 0.0004
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 1.0
+
+### Resource Usage
+Peak GPU Memory: 8.0892 GB
+
+### Eval-Phase Metrics
+| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| **teacher eval** |  | 43.75 | 61.75 |  |  |  |  | 11.8125 | 19.125 |
+| 0 | 0 | 1984274890752.0 | 213305255788544.0 | 21.1260 | 17.0018 | 58.817 | 7.352 | 3774873600.0 | 74217034874880.0 |
+| 1000 | 0.0808 | 516.0 | 3952.0 | 1.7644 | 17.0372 | 58.695 | 7.337 | 412.0 | 3760.0 |
+| 2000 | 0.1616 | 516.0 | 3872.0 | 1.7584 | 17.0128 | 58.779 | 7.347 | 462.0 | 860.0 |
+| 3000 | 0.2424 | 864.0 | 4672.0 | 2.0719 | 17.0071 | 58.799 | 7.35 | 788.0 | 2448.0 |
+| 4000 | 0.3232 | 1888.0 | 9344.0 | 2.5277 | 17.1241 | 58.397 | 7.3 | 1696.0 | 26880.0 |
+| 5000 | 0.4040 | 2008.0 | 7712.0 | 2.5758 | 17.0318 | 58.714 | 7.339 | 2256.0 | 48128.0 |
+| 6000 | 0.4848 | 2352.0 | 9984.0 | 2.6397 | 17.1643 | 58.26 | 7.283 | 1856.0 | 54528.0 |
+| 7000 | 0.5657 | 2416.0 | 12096.0 | 2.6472 | 17.0957 | 58.494 | 7.312 | 1880.0 | 109568.0 |
+| 8000 | 0.6465 | 2448.0 | 9856.0 | 2.6570 | 17.0094 | 58.791 | 7.349 | 1960.0 | 115712.0 |
+| 9000 | 0.7273 | 2352.0 | 10240.0 | 2.6449 | 17.0132 | 58.778 | 7.347 | 1920.0 | 109056.0 |
+| 10000 | 0.8081 | 2320.0 | 9344.0 | 2.6556 | 17.0386 | 58.69 | 7.336 | 2096.0 | 87040.0 |
+| 11000 | 0.8889 | 2304.0 | 12224.0 | 2.6333 | 17.0346 | 58.704 | 7.338 | 1888.0 | 130048.0 |
+| 12000 | 0.9697 | 2208.0 | 10368.0 | 2.6107 | 17.0435 | 58.674 | 7.334 | 1808.0 | 98816.0 |
+| 12375 | 1.0 | 2256.0 | 10304.0 | 2.6066 | 17.0663 | 58.595 | 7.324 | 1696.0 | 80896.0 |
+
+### Framework versions
+- Distily 0.2.0
+- Transformers 4.44.0
+- Pytorch 2.3.0
+- Datasets 2.21.0

config.json

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+{
+  "_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,
+  "quantization_config": {
+    "_load_in_4bit": false,
+    "_load_in_8bit": true,
+    "bnb_4bit_compute_dtype": "float32",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "fp4",
+    "bnb_4bit_use_double_quant": false,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": false,
+    "load_in_8bit": true,
+    "quant_method": "bitsandbytes"
+  },
+  "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": "4.44.0",
+  "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": "4.44.0"
+}

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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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