初始化项目，由ModelHub XC社区提供模型

Model: layai/syn-youtube-dict
Source: Original Platform

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README.md

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+---
+library_name: transformers
+base_model: meta-llama/Meta-Llama-3-8B
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: dict
+  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. -->
+
+# dict
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co//meta-llama/Meta-Llama-3-8B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6060
+- Accuracy: 0.4585
+
+## 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-05
+- train_batch_size: 40
+- eval_batch_size: 40
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 160
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.7536        | 0.6439 | 500  | 3.6060          | 0.4585   |
+| 0.3454        | 1.2878 | 1000 | 3.9088          | 0.4632   |
+| 0.2247        | 1.9317 | 1500 | 3.9477          | 0.4596   |
+| 0.1506        | 2.5757 | 2000 | 4.0823          | 0.4569   |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 2.5756600128783003,
+    "eval_accuracy": 0.45848246241947027,
+    "eval_loss": 3.606008291244507,
+    "eval_runtime": 2.3056,
+    "eval_samples": 352,
+    "eval_samples_per_second": 152.673,
+    "eval_steps_per_second": 3.904,
+    "perplexity": 36.818789210393405,
+    "total_flos": 4.747627355386675e+16,
+    "train_loss": 0.36860907363891604,
+    "train_runtime": 2762.5839,
+    "train_samples": 3106,
+    "train_samples_per_second": 3.373,
+    "train_steps_per_second": 0.843
+}

config.json

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+{
+  "_name_or_path": "/juice2/scr2/laya/Meta-Llama-3-8B",
+  "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,
+  "mlp_bias": false,
+  "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": "bfloat16",
+  "transformers_version": "4.45.0.dev0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

eval_results.json

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+{
+    "epoch": 2.5756600128783003,
+    "eval_accuracy": 0.45848246241947027,
+    "eval_loss": 3.606008291244507,
+    "eval_runtime": 2.3056,
+    "eval_samples": 352,
+    "eval_samples_per_second": 152.673,
+    "eval_steps_per_second": 3.904,
+    "perplexity": 36.818789210393405
+}

generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": 128001,
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.45.0.dev0"
+}

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