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README.md

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+---
+library_name: transformers
+base_model: halcyon-llm/SmolLM2-360M-japanese_patch-11000
+tags:
+- generated_from_trainer
+datasets:
+- kajuma/training_01-09_token
+model-index:
+- name: results
+  results: []
+---
+
+<!-- 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. -->
+
+# results
+
+This model is a fine-tuned version of [halcyon-llm/SmolLM2-360M-japanese_patch-11000](https://huggingface.co/halcyon-llm/SmolLM2-360M-japanese_patch-11000) on the kajuma/training_01-09_token dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1685
+
+## 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:
+- learning_rate: 0.003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 256
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine_with_min_lr
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 1.3365        | 0.0438 | 500   | 1.3520          |
+| 1.3108        | 0.0877 | 1000  | 1.3424          |
+| 1.2777        | 0.1315 | 1500  | 1.3183          |
+| 1.3173        | 0.1754 | 2000  | 1.2995          |
+| 1.2953        | 0.2192 | 2500  | 1.2839          |
+| 1.2651        | 0.2631 | 3000  | 1.2729          |
+| 1.2416        | 0.3069 | 3500  | 1.2610          |
+| 1.2501        | 0.3508 | 4000  | 1.2496          |
+| 1.2258        | 0.3946 | 4500  | 1.2393          |
+| 1.1961        | 0.4385 | 5000  | 1.2292          |
+| 1.2401        | 0.4823 | 5500  | 1.2193          |
+| 1.2089        | 0.5262 | 6000  | 1.2098          |
+| 1.1854        | 0.5700 | 6500  | 1.2019          |
+| 1.1716        | 0.6138 | 7000  | 1.1943          |
+| 1.2056        | 0.6577 | 7500  | 1.1877          |
+| 1.1998        | 0.7015 | 8000  | 1.1821          |
+| 1.1582        | 0.7454 | 8500  | 1.1777          |
+| 1.1667        | 0.7892 | 9000  | 1.1744          |
+| 1.1042        | 0.8331 | 9500  | 1.1722          |
+| 1.1436        | 0.8769 | 10000 | 1.1705          |
+| 1.1224        | 0.9208 | 10500 | 1.1695          |
+| 1.1215        | 0.9646 | 11000 | 1.1688          |
+
+
+### Framework versions
+
+- Transformers 4.48.0.dev0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

added_tokens.json

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+{
+  "[PAD]": 49152
+}

all_results.json

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+{
+    "epoch": 0.9999493031929397,
+    "eval_loss": 1.1684964895248413,
+    "eval_runtime": 428.841,
+    "eval_samples": 14447,
+    "eval_samples_per_second": 33.688,
+    "eval_steps_per_second": 8.423,
+    "perplexity": 3.2171519787488077,
+    "total_flos": 5.643098158163558e+18,
+    "train_loss": 1.2418534558435956,
+    "train_runtime": 283616.7229,
+    "train_samples": 2919315,
+    "train_samples_per_second": 10.293,
+    "train_steps_per_second": 0.04
+}

config.json

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+{
+  "_name_or_path": "halcyon-llm/SmolLM2-360M-japanese_patch-11000",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "gradient_accumulation_steps": 32,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 960,
+  "initializer_range": 0.02,
+  "intermediate_size": 2560,
+  "is_llama_config": true,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 15,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 5,
+  "patch_size": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_scaling": null,
+  "rope_theta": 100000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.0.dev0",
+  "use_cache": true,
+  "vocab_size": 49153
+}

eval_results.json

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+{
+    "epoch": 0.9999493031929397,
+    "eval_loss": 1.1684964895248413,
+    "eval_runtime": 428.841,
+    "eval_samples": 14447,
+    "eval_samples_per_second": 33.688,
+    "eval_steps_per_second": 8.423,
+    "perplexity": 3.2171519787488077
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.48.0.dev0"
+}

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+size 723676832

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tokenizer_config.json

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train_results.json

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+    "train_runtime": 283616.7229,
+    "train_samples": 2919315,
+    "train_samples_per_second": 10.293,
+    "train_steps_per_second": 0.04
+}

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