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Model: rbelanec/train_record_42_1776331412
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- peft-factory
+- full
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: train_record_42_1776331412
+  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. -->
+
+# train_record_42_1776331412
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the record dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4481
+- Num Input Tokens Seen: 245808128
+
+## 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: 5e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH 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
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Input Tokens Seen |
+|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
+| 0.6094        | 0.2500 | 3906  | 0.5014          | 12292032          |
+| 0.4689        | 0.5001 | 7812  | 0.5265          | 24620672          |
+| 0.5124        | 0.7501 | 11718 | 0.4985          | 36894016          |
+| 0.343         | 1.0002 | 15624 | 0.4854          | 49176512          |
+| 0.265         | 1.2502 | 19530 | 0.5116          | 61465280          |
+| 0.2897        | 1.5003 | 23436 | 0.4806          | 73739776          |
+| 0.2995        | 1.7503 | 27342 | 0.4774          | 86015936          |
+| 0.2658        | 2.0004 | 31248 | 0.4481          | 98341056          |
+| 0.2663        | 2.2504 | 35154 | 0.5257          | 110649216         |
+| 0.1792        | 2.5005 | 39060 | 0.5071          | 122910592         |
+| 0.2395        | 2.7505 | 42966 | 0.5056          | 135222656         |
+| 0.1496        | 3.0006 | 46872 | 0.5023          | 147516736         |
+| 0.1005        | 3.2506 | 50778 | 0.5569          | 159826368         |
+| 0.159         | 3.5007 | 54684 | 0.5747          | 172084032         |
+| 0.1324        | 3.7507 | 58590 | 0.5466          | 184402752         |
+| 0.1773        | 4.0008 | 62496 | 0.5555          | 196687936         |
+| 0.0922        | 4.2508 | 66402 | 0.6279          | 209017024         |
+| 0.1645        | 4.5009 | 70308 | 0.6087          | 221278272         |
+| 0.1252        | 4.7509 | 74214 | 0.6058          | 233564288         |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.21.4

all_results.json

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+{
+    "epoch": 5.0,
+    "eval_loss": 0.4481422007083893,
+    "eval_runtime": 50.9215,
+    "eval_samples_per_second": 272.694,
+    "eval_steps_per_second": 34.092,
+    "num_input_tokens_seen": 245808128,
+    "total_flos": 1.43524334436719e+18,
+    "train_loss": 0.2808395623519733,
+    "train_runtime": 12345.7888,
+    "train_samples_per_second": 50.612,
+    "train_steps_per_second": 6.326
+}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "use_cache": false,
+  "vocab_size": 128256
+}

eval_results.json

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+{
+    "epoch": 5.0,
+    "eval_loss": 0.4481422007083893,
+    "eval_runtime": 50.9215,
+    "eval_samples_per_second": 272.694,
+    "eval_steps_per_second": 34.092,
+    "num_input_tokens_seen": 245808128
+}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.51.3"
+}

model.safetensors

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    {
+      "content": "<|eom_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|eot_id|>"
+}

tokenizer.json

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train.yaml

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+seed: 42
+
+### model
+model_name_or_path: meta-llama/Llama-3.2-1B-Instruct
+trust_remote_code: true
+flash_attn: auto
+use_cache: false
+
+### method
+stage: sft
+do_train: true
+finetuning_type: full
+
+### dataset
+dataset: record
+template: llama3
+cutoff_len: 2048
+overwrite_cache: true
+preprocessing_num_workers: 4
+dataloader_num_workers: 4
+packing: false
+
+### output
+output_dir: saves_bts_preliminary/base/llama-3.2-1b-instruct/train_record_42_1776331412
+logging_steps: 5
+save_steps: 0.05
+overwrite_output_dir: true
+save_only_model: false
+plot_loss: true
+include_num_input_tokens_seen: true
+push_to_hub: true
+push_to_hub_organization: rbelanec
+load_best_model_at_end: true
+save_total_limit: 1
+
+### train
+per_device_train_batch_size: 8
+learning_rate: 5.0e-6
+num_train_epochs: 5
+weight_decay: 1.0e-5
+lr_scheduler_type: cosine
+bf16: true
+ddp_timeout: 180000000
+resume_from_checkpoint: null
+warmup_ratio: 0.1
+optim: adamw_torch
+report_to:
+- wandb
+run_name: base_llama-3.2-1b-instruct_train_record_42_1776331412
+
+### eval
+per_device_eval_batch_size: 8
+eval_strategy: steps
+eval_steps: 0.05
+val_size: 0.1

train_results.json

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+{
+    "epoch": 5.0,
+    "num_input_tokens_seen": 245808128,
+    "total_flos": 1.43524334436719e+18,
+    "train_loss": 0.2808395623519733,
+    "train_runtime": 12345.7888,
+    "train_samples_per_second": 50.612,
+    "train_steps_per_second": 6.326
+}

training_args.bin

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