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README.md

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+---
+license: other
+base_model: meta-llama/Meta-Llama-3-8B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: C013_llama3-8b-base_instruct_20240428_005832
+  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. -->
+
+# C013_llama3-8b-base_instruct_20240428_005832
+
+This model is a fine-tuned version of [./output/training_results/C013_llama3-8b-base_pretrain_20240428_005832/](https://huggingface.co/./output/training_results/C013_llama3-8b-base_pretrain_20240428_005832/) on the instructions_curated dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8123
+
+## 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: 1.5e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: polynomial
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 4.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9805        | 0.0208 | 1    | 0.9737          |
+| 0.9446        | 0.1042 | 5    | 0.9455          |
+| 0.8481        | 0.2083 | 10   | 0.8154          |
+| 0.7794        | 0.3125 | 15   | 0.8123          |
+| 0.7798        | 0.4167 | 20   | 0.8411          |
+| 0.8576        | 0.5208 | 25   | 0.8676          |
+| 0.8852        | 0.625  | 30   | 0.8673          |
+| 0.8529        | 0.7292 | 35   | 0.8561          |
+| 0.8224        | 0.8333 | 40   | 0.8470          |
+| 0.8536        | 0.9375 | 45   | 0.8378          |
+| 0.662         | 1.0417 | 50   | 0.8294          |
+| 0.437         | 1.1458 | 55   | 0.8531          |
+| 0.4402        | 1.25   | 60   | 0.8569          |
+| 0.4244        | 1.3542 | 65   | 0.8569          |
+| 0.4495        | 1.4583 | 70   | 0.8547          |
+| 0.4689        | 1.5625 | 75   | 0.8494          |
+| 0.4309        | 1.6667 | 80   | 0.8461          |
+| 0.4299        | 1.7708 | 85   | 0.8446          |
+| 0.4461        | 1.875  | 90   | 0.8440          |
+| 0.4474        | 1.9792 | 95   | 0.8439          |
+| 0.3614        | 2.0833 | 100  | 0.8445          |
+| 0.3861        | 2.1875 | 105  | 0.8457          |
+| 0.3829        | 2.2917 | 110  | 0.8473          |
+| 0.3764        | 2.3958 | 115  | 0.8488          |
+| 0.3655        | 2.5    | 120  | 0.8500          |
+| 0.4243        | 2.6042 | 125  | 0.8511          |
+| 0.3884        | 2.7083 | 130  | 0.8520          |
+| 0.3634        | 2.8125 | 135  | 0.8528          |
+| 0.3846        | 2.9167 | 140  | 0.8537          |
+| 0.3872        | 3.0208 | 145  | 0.8547          |
+| 0.3869        | 3.125  | 150  | 0.8558          |
+| 0.3876        | 3.2292 | 155  | 0.8566          |
+| 0.3844        | 3.3333 | 160  | 0.8573          |
+| 0.3535        | 3.4375 | 165  | 0.8579          |
+| 0.3488        | 3.5417 | 170  | 0.8588          |
+| 0.3464        | 3.6458 | 175  | 0.8598          |
+| 0.361         | 3.75   | 180  | 0.8607          |
+| 0.3674        | 3.8542 | 185  | 0.8612          |
+| 0.3988        | 3.9583 | 190  | 0.8612          |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 4.0,
+    "eval_loss": 0.8123041987419128,
+    "eval_runtime": 2.1028,
+    "eval_samples_per_second": 161.691,
+    "eval_steps_per_second": 1.427,
+    "total_flos": 5363820134400.0,
+    "train_loss": 0.5090278356025616,
+    "train_runtime": 6014.9673,
+    "train_samples_per_second": 2.031,
+    "train_steps_per_second": 0.032
+}

config.json

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+{
+  "_name_or_path": "./output/training_results/C013_llama3-8b-base_pretrain_20240428_005832/",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.40.0",
+  "use_cache": false,
+  "vocab_size": 128256
+}

eval_results.json

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+{
+    "epoch": 4.0,
+    "eval_loss": 0.8123041987419128,
+    "eval_runtime": 2.1028,
+    "eval_samples_per_second": 161.691,
+    "eval_steps_per_second": 1.427
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "transformers_version": "4.40.0"
+}

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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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trainer_log.jsonl

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