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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README1.md

@@ -0,0 +1,61 @@
+---
+library_name: transformers
+license: other
+base_model: /gpfs/public/01/models/hf_models/Qwen2.5-14B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: en_train_1,zh_train_1,ted_zh_4+20250207-084418
+  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. -->
+
+# en_train_1,zh_train_1,ted_zh_4+20250207-084418
+
+This model is a fine-tuned version of [/gpfs/public/01/models/hf_models/Qwen2.5-14B](https://huggingface.co//gpfs/public/01/models/hf_models/Qwen2.5-14B) on the en_train_1, the zh_train_1 and the ted_zh_4 datasets.
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 128
+- total_train_batch_size: 1024
+- total_eval_batch_size: 64
+- 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: 0.04
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.4.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

added_tokens.json

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+}

all_results.json

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+    "total_flos": 1669442221637632.0,
+    "train_loss": 0.8222132679146369,
+    "train_runtime": 41157.9453,
+    "train_samples_per_second": 6.56,
+    "train_steps_per_second": 0.006
+}

config.json

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+{
+  "_name_or_path": "/gpfs/public/01/models/hf_models/Qwen2.5-14B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 48,
+  "model_type": "qwen2",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

generation_config.json

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+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.46.1"
+}

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+}

training_args.bin

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