init model

README.md

@@ -1,3 +1,45 @@
 ---
+language:
+- en
 license: apache-2.0
+tags:
+- generated_from_trainer
+base_model: microsoft/phi-2
+pipeline_tag: text-generation
+model-index:
+- name: spin-phi2
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
 ---
+
+# outputs
+This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) using [trl](https://github.com/huggingface/trl) on [ultrafeedback dataset](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized).
+
+# What's new
+A test for orpo method using trl library.
+
+## How to reproduce
+```bash
+accelerate launch --config_file=/path/to/trl/examples/accelerate_configs/deepspeed_zero2.yaml \
+    --num_processes 8 \
+    /path/to/trl/scripts/orpo.py \
+    --model_name_or_path="microsoft/phi-2" \
+    --per_device_train_batch_size 1 \
+    --max_steps 8000 \
+    --learning_rate 8e-5 \
+    --gradient_accumulation_steps 1 \
+    --logging_steps 20 \
+    --eval_steps 2000 \
+    --output_dir="orpo-lora-phi2" \
+    --optim rmsprop \
+    --warmup_steps 150 \
+    --bf16 \
+    --logging_first_step \
+    --no_remove_unused_columns \
+    --use_peft \
+    --lora_r=16 \
+    --lora_alpha=16 \
+    --dataset HuggingFaceH4/ultrafeedback_binarized
+```

added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "",
+  "architectures": [
+    "PhiForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/phi-2--configuration_phi.PhiConfig",
+    "AutoModelForCausalLM": "microsoft/phi-2--modeling_phi.PhiForCausalLM"
+  },
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 50256,
+  "hidden_act": "gelu_new",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 10240,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "phi",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "partial_rotary_factor": 0.4,
+  "qk_layernorm": false,
+  "resid_pdrop": 0.1,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.39.2"
+}

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+}

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,325 @@
+{
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+      "special": false
+    },
+    "50260": {
+      "content": "                            ",
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+      "single_word": false,
+      "special": false
+    },
+    "50261": {
+      "content": "                           ",
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+    },
+    "50263": {
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+    },
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+    },
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+    "50271": {
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+    },
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+    },
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+    },
+    "50275": {
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+    },
+    "50276": {
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+    },
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+    },
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+    "50279": {
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+    },
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+    },
+    "50293": {
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+    }
+  },
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+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 2048,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CodeGenTokenizer",
+  "unk_token": "<|endoftext|>"
+}