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Model: open-sci/sft__ot30k_SmolLM2-1.7B-Instruct-16k
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+license: other
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+datasets:
+- arrow
+model-index:
+- name: sft__f679a5c592c8dffb__SmolLM2-1-7B-Instruc__fa2-smollm2-steps__SmolLM2-1.7B-Instruc
+  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. -->
+
+# sft__f679a5c592c8dffb__SmolLM2-1-7B-Instruc__fa2-smollm2-steps__SmolLM2-1.7B-Instruc
+
+This model was trained from scratch on the /gpfs/scratch/ehpc524/ot/hf_hub/datasets/open-thoughts_open_thoughts3-1.2_m_30000_samples/default/0.0.0/f679a5c592c8dffb dataset.
+
+## 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: 4e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 32
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 256
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.55.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.8.4
+- Tokenizers 0.21.4

all_results.json

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+{
+    "epoch": 5.0,
+    "loss_nan_ranks": 0,
+    "loss_rank_avg": 0.47408732771873474,
+    "total_flos": 1367215063302144.0,
+    "train_loss": 1.0890607003455466,
+    "train_runtime": 4651.4769,
+    "train_samples_per_second": 32.248,
+    "train_steps_per_second": 0.253,
+    "valid_targets_mean": 11629.8,
+    "valid_targets_min": 2098
+}

chat_template.jinja

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+{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 16384,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 32,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers.js_config": {
+    "kv_cache_dtype": {
+      "fp16": "float16",
+      "q4f16": "float16"
+    }
+  },
+  "transformers_version": "4.55.0",
+  "use_cache": false,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.55.0"
+}

model.safetensors

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run_summary.json

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+{
+  "agent_name": "f679a5c592c8dffb",
+  "training_start": null,
+  "training_end": null,
+  "created_by": "DCAgent",
+  "base_model_name": "/gpfs/scratch/ehpc524/ot/hf_hub/SmolLM2-1.7B-Instruct-16k",
+  "dataset_name": "/gpfs/scratch/ehpc524/ot/hf_hub/datasets/open-thoughts_open_thoughts3-1.2_m_30000_samples/default/0.0.0/f679a5c592c8dffb",
+  "training_type": "SFT",
+  "training_parameters": "https://huggingface.co/mlfoundations-dev/sft__f679a5c592c8dffb__SmolLM2-1-7B-Instruc__fa2-smollm2-steps__SmolLM6b8c1968/blob/main/config.json",
+  "wandb_link": null,
+  "traces_location_s3": null
+}

runs/Apr21_13-45-18_as03r2b26/events.out.tfevents.1776772457.as03r2b26.2844947.0

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special_tokens_map.json

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+      "lstrip": false,
+      "normalized": false,
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tokenizer_config.json

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train_results.json

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+    "loss_rank_avg": 0.47408732771873474,
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+    "train_steps_per_second": 0.253,
+    "valid_targets_mean": 11629.8,
+    "valid_targets_min": 2098
+}

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