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Browse files- README.md +48 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- runs/Jan08_10-37-25_r-derek-thomas-autotrain-falcon-v03-poe-fa-swrwkao7-92b51-evuca/events.out.tfevents.1736332725.r-derek-thomas-autotrain-falcon-v03-poe-fa-swrwkao7-92b51-evuca.63.0 +2 -2
- special_tokens_map.json +41 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
- training_args.bin +3 -0
- training_params.json +49 -0
README.md
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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: tiiuae/Falcon3-7B-Instruct
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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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- derek-thomas/labeled-multiple-choice-explained-falcon-tokenized
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---
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# Model Trained Using AutoTrain
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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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# Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "PATH_TO_THIS_REPO"
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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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# Prompt content: "hi"
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messages = [
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{"role": "user", "content": "hi"}
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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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# Model response: "Hello! How can I assist you today?"
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print(response)
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```
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "tiiuae/Falcon3-7B-Instruct",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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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_bias": false,
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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": null,
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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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"up_proj",
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"o_proj",
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"down_proj",
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"k_proj",
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"q_proj",
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"gate_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:70d1e6fa8bc1919aa8c5cbcb6d4fcf8aef4d50bf68aa1bd4e9e17763743a69e1
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size 177130872
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runs/Jan08_10-37-25_r-derek-thomas-autotrain-falcon-v03-poe-fa-swrwkao7-92b51-evuca/events.out.tfevents.1736332725.r-derek-thomas-autotrain-falcon-v03-poe-fa-swrwkao7-92b51-evuca.63.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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oid sha256:4f5fb46bef41133fa42e14654e894d8bf65930313e3a158b60f29bbffd6acc82
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size 12869
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special_tokens_map.json
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{
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>EMAIL_ADDRESS<<",
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">>IP_ADDRESS<<",
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"<|startoftext|>",
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">>IP_ADDRESS_0<<",
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">>IP_ADDRESS_1<<",
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">>IP_ADDRESS_2<<",
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">>IP_ADDRESS_3<<",
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">>IP_ADDRESS_4<<",
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">>IP_ADDRESS_5<<",
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">>IP_ADDRESS_6<<",
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">>IP_ADDRESS_7<<",
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">>IP_ADDRESS_8<<",
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">>IP_ADDRESS_9<<",
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">>PASSWORD<<",
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">>KEY<<"
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],
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|pad|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6490a5f31a46e9f3a10d9617930269ed8f18c2c841d6bbd9fb25d6dd253d1c5c
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size 5688
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training_params.json
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{
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"model": "tiiuae/Falcon3-7B-Instruct",
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"project_name": "falcon-v03-poe-FA",
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"data_path": "derek-thomas/labeled-multiple-choice-explained-falcon-tokenized",
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"train_split": "train",
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"valid_split": null,
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"add_eos_token": true,
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"block_size": 512,
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"model_max_length": 1500,
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"padding": "right",
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"trainer": "sft",
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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": "bf16",
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"lr": 3e-07,
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"epochs": 4,
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"batch_size": 1,
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"warmup_ratio": 0.1,
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"gradient_accumulation": 8,
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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": "tokenizer",
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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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"lora_r": 16,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"model_ref": null,
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"dpo_beta": 0.1,
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"max_prompt_length": 128,
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"max_completion_length": null,
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"prompt_text_column": null,
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"text_column": "conversation_FA",
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"rejected_text_column": null,
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"push_to_hub": true,
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"username": "derek-thomas",
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"unsloth": false,
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"distributed_backend": null
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}
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