Model save

README.md

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+---
+license: other
+base_model: 01-ai/Yi-6B
+tags:
+- generated_from_trainer
+model-index:
+- name: apt-chat-yi-34b-sft-full
+  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. -->
+
+# apt-chat-yi-34b-sft-full
+
+This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3422
+
+## 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: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 6
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 24
+- total_eval_batch_size: 6
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1029        | 0.15  | 135  | 1.0746          |
+| 0.8271        | 1.15  | 270  | 1.1266          |
+| 0.5131        | 2.15  | 405  | 1.3422          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0.dev20230605+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

all_results.json

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+{
+    "epoch": 2.15,
+    "eval_loss": 1.3422094583511353,
+    "eval_runtime": 4.6035,
+    "eval_samples": 500,
+    "eval_samples_per_second": 108.613,
+    "eval_steps_per_second": 18.247,
+    "train_loss": 0.8341983215308484,
+    "train_runtime": 1136.3762,
+    "train_samples": 21407,
+    "train_samples_per_second": 56.514,
+    "train_steps_per_second": 2.355
+}

config.json

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+{
+  "_name_or_path": "01-ai/Yi-6B",
+  "architectures": [
+    "YiForCausalLM"
+  ],
+  "auto_map": {
+    "AutoConfig": "01-ai/Yi-6B--configuration_yi.YiConfig",
+    "AutoModel": "01-ai/Yi-6B--modeling_yi.YiModel",
+    "AutoModelForCausalLM": "01-ai/Yi-6B--modeling_yi.YiForCausalLM"
+  },
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "Yi",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 4,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 5000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.0",
+  "use_cache": true,
+  "vocab_size": 64000
+}

eval_results.json

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+{
+    "epoch": 2.15,
+    "eval_loss": 1.3422094583511353,
+    "eval_runtime": 4.6035,
+    "eval_samples": 500,
+    "eval_samples_per_second": 108.613,
+    "eval_steps_per_second": 18.247
+}

generation_config.json

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+{
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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}

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