End of training

README.md

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+---
+base_model: roneneldan/TinyStories-33M
+library_name: Distily
+tags:
+- generated_from_trainer
+model-index:
+- name: distily_bench_obj_cross_v2.8
+  results: []
+---
+
+# distily_bench_obj_cross_v2.8
+
+This student model is distilled from the teacher model [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) 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: 198.4185
+- eval_frwikippl: 100815.4219
+- eval_zhwikippl: 1470416.875
+- eval_tinystoriesppl: 10.3978
+- eval_loss: 1.2095
+- eval_runtime: 6.4972
+- eval_samples_per_second: 76.957
+- eval_steps_per_second: 9.697
+
+<!-- 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=0, loss_fn=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
+- train_embeddings: True
+- learning_rate: 0.004
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Resource Usage
+Peak GPU Memory: 6.6047 GB
+
+### Eval-Phase Metrics
+| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| **teacher eval** |  | 169.9865 | 47377.9414 |  |  |  |  | 3.9789 | 4998.1294 |
+| 0 | 0 | 11624.0693 | 60523.7891 | 5.8780 | 6.5064 | 76.847 | 9.683 | 4963.9985 | 59716.3516 |
+| 5000 | 0.1010 | 198.4185 | 100815.4219 | 1.2095 | 6.4972 | 76.957 | 9.697 | 10.3978 | 1470416.875 |
+| 10000 | 0.2020 | 197.7357 | 97196.9141 | 1.2093 | 6.4818 | 77.139 | 9.72 | 10.2892 | 1447451.75 |
+| 15000 | 0.3030 | 197.2080 | 98104.7109 | 1.2096 | 6.504 | 76.876 | 9.686 | 10.4405 | 1471986.875 |
+| 20000 | 0.4040 | 195.2773 | 97005.4062 | 1.2094 | 6.4752 | 77.218 | 9.729 | 10.1995 | 1422946.875 |
+| 25000 | 0.5051 | 196.9104 | 100058.5391 | 1.2099 | 6.4866 | 77.082 | 9.712 | 10.2727 | 1497336.25 |
+| 30000 | 0.6061 | 195.8986 | 94337.375 | 1.2099 | 6.4887 | 77.057 | 9.709 | 10.3785 | 1435147.0 |
+| 35000 | 0.7071 | 196.9180 | 96216.1797 | 1.2091 | 6.5251 | 76.627 | 9.655 | 10.3306 | 1444365.625 |
+| 40000 | 0.8081 | 197.7434 | 97635.9688 | 1.2091 | 6.5177 | 76.715 | 9.666 | 10.3669 | 1472771.75 |
+| 45000 | 0.9091 | 198.4416 | 98575.6953 | 1.2093 | 6.4898 | 77.044 | 9.708 | 10.3216 | 1521499.0 |
+| 49500 | 1.0 | 197.6898 | 97801.2031 | 1.2091 | 6.4817 | 77.141 | 9.72 | 10.3293 | 1486192.625 |
+
+### 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": "roneneldan/TinyStories-33M",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPTNeoForCausalLM"
+  ],
+  "attention_dropout": 0,
+  "attention_layers": [
+    "global",
+    "local",
+    "global",
+    "local"
+  ],
+  "attention_types": [
+    [
+      [
+        "global",
+        "local"
+      ],
+      2
+    ]
+  ],
+  "bos_token_id": 50256,
+  "classifier_dropout": 0.1,
+  "embed_dropout": 0,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": null,
+  "layer_norm_epsilon": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neo",
+  "num_heads": 16,
+  "num_layers": 4,
+  "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"
+  },
+  "resid_dropout": 0,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0",
+  "use_cache": true,
+  "vocab_size": 50257,
+  "window_size": 256
+}

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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model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "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|>",
+  "errors": "replace",
+  "model_max_length": 2048,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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