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Browse files- README.md +47 -0
- config.json +39 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Nov11_19-48-51_c346083732b6/events.out.tfevents.1731354750.c346083732b6.45164.0 +2 -2
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +21 -0
- training_args.bin +3 -0
- training_params.json +49 -0
- vocab.json +0 -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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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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- THU-KEG/Crab-SFT
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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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config.json
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{
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"_name_or_path": "openai-community/gpt2",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.46.2",
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"use_cache": true,
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"vocab_size": 50257
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.46.2"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:00eccd3488a283f11f90bf0dbf4fd7c2ef68302278b21770742e3ae53a53ddbe
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size 497774208
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runs/Nov11_19-48-51_c346083732b6/events.out.tfevents.1731354750.c346083732b6.45164.0
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:6c1487f11983863bf92323a55434860432feea4db0d589cd6a9a607b3de09110
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size 26700
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special_tokens_map.json
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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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}
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tokenizer.json
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tokenizer_config.json
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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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"rstrip": false,
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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": false,
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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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7786c1c40ff73dc9419fc10793319d38e20a21fec81d2d22908a60fc9d99314d
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size 5624
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training_params.json
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{
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"model": "openai-community/gpt2",
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"project_name": "autotrain-gpt2-finetune-crab-4batches",
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"data_path": "THU-KEG/Crab-SFT",
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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": 2048,
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"model_max_length": 4096,
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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": 1e-05,
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"epochs": 1,
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"batch_size": 4,
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"warmup_ratio": 0.1,
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"gradient_accumulation": 8,
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"optimizer": "paged_adamw_8bit",
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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": true,
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"peft": false,
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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": "messages",
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"rejected_text_column": null,
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"push_to_hub": true,
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"username": "toastloaf",
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"unsloth": false,
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"distributed_backend": null
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}
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vocab.json
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