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README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - text-generation-inference
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+ - text-generation
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+ - peft
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+ library_name: transformers
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+ base_model: openai-community/gpt2
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+ widget:
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+ - messages:
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+ - role: user
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+ content: What is your favorite condiment?
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+ license: other
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+ datasets:
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+ - allenai/reward-bench
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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+
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+ # Usage
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+
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+ ```python
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+
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model_path = "PATH_TO_THIS_REPO"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model_path)
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+ model = AutoModelForCausalLM.from_pretrained(
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+ model_path,
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+ device_map="auto",
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+ torch_dtype='auto'
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+ ).eval()
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+
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+ # Prompt content: "hi"
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+ messages = [
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+ {"role": "user", "content": "hi"}
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+ ]
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+
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+ input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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+ output_ids = model.generate(input_ids.to('cuda'))
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+ response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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+
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+ # Model response: "Hello! How can I assist you today?"
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+ print(response)
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+ ```
adapter_config.json ADDED
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+ "base_model_name_or_path": "openai-community/gpt2",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": [
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+ "classifier",
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+ "score"
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+ ],
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "c_proj",
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+ "c_attn",
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+ "c_fc",
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+ "score"
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+ ],
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+ "task_type": "SEQ_CLS",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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merges.txt ADDED
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special_tokens_map.json ADDED
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+ {
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+ "bos_token": "<|endoftext|>",
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+ "eos_token": "<|endoftext|>",
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+ "pad_token": "<|endoftext|>",
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+ "unk_token": "<|endoftext|>"
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "add_prefix_space": false,
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+ "added_tokens_decoder": {
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+ "50256": {
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+ "content": "<|endoftext|>",
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+ "lstrip": false,
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+ "normalized": true,
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "bos_token": "<|endoftext|>",
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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 %}",
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+ "clean_up_tokenization_spaces": true,
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+ "eos_token": "<|endoftext|>",
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+ "model_max_length": 1024,
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+ "pad_token": "<|endoftext|>",
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+ "tokenizer_class": "GPT2Tokenizer",
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+ "unk_token": "<|endoftext|>"
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+ }
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+ {
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+ "model": "openai-community/gpt2",
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+ "project_name": "autotrain-opengpt2-llmreward",
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+ "data_path": "allenai/reward-bench",
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+ "train_split": "raw",
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+ "add_eos_token": true,
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+ "block_size": 1024,
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+ "padding": "right",
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+ "trainer": "reward",
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+ "use_flash_attention_2": false,
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+ "log": "tensorboard",
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+ "disable_gradient_checkpointing": false,
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+ "logging_steps": -1,
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+ "eval_strategy": "epoch",
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+ "save_total_limit": 1,
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+ "auto_find_batch_size": false,
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+ "mixed_precision": "fp16",
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+ "lr": 3e-05,
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+ "epochs": 3,
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+ "batch_size": 2,
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+ "warmup_ratio": 0.1,
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+ "gradient_accumulation": 4,
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+ "optimizer": "adamw_torch",
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+ "scheduler": "linear",
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+ "weight_decay": 0.0,
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+ "max_grad_norm": 1.0,
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+ "seed": 42,
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+ "chat_template": "none",
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+ "quantization": "int4",
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+ "target_modules": "all-linear",
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+ "merge_adapter": false,
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+ "peft": true,
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+ "max_prompt_length": 128,
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+ "prompt_text_column": "prompt",
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+ "text_column": "chosen",
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+ "rejected_text_column": "rejected",
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+ "push_to_hub": true,
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+ "username": "Wonder-Griffin",
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+ "unsloth": false
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+ }
vocab.json ADDED
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