End of training
Browse files- README.md +69 -0
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- adapter_model.safetensors +3 -0
- config.json +45 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- runs/May15_14-55-45_645e93bffc98/events.out.tfevents.1747320970.645e93bffc98.104.0 +3 -0
- special_tokens_map.json +40 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +88 -0
- training_args.bin +3 -0
README.md
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---
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base_model: defog/sqlcoder-7b-2
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library_name: transformers
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model_name: 30568496-e10e-4eeb-a9cb-44c92688da75
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tags:
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- generated_from_trainer
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- axolotl
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- dpo
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- trl
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licence: license
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---
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# Model Card for 30568496-e10e-4eeb-a9cb-44c92688da75
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This model is a fine-tuned version of [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="dimasik87/30568496-e10e-4eeb-a9cb-44c92688da75", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/dedok-yo/s56-7/runs/x7j5ym5x)
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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### Framework versions
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- TRL: 0.12.0.dev0
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- Transformers: 4.46.0
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- Pytorch: 2.5.0+cu124
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- Datasets: 3.0.1
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- Tokenizers: 0.20.1
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## Citations
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Cite DPO as:
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```bibtex
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@inproceedings{rafailov2023direct,
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title = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
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author = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn},
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year = 2023,
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booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
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url = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},
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editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
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}
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```
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin GallouΓ©dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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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": "defog/sqlcoder-7b-2",
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"bias": "none",
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"fan_in_fan_out": null,
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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": 64,
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"lora_dropout": 0.1,
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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": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"k_proj",
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"down_proj",
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"o_proj",
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"up_proj",
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"v_proj",
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"q_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.bin
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version https://git-lfs.github.com/spec/v1
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adapter_model.safetensors
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config.json
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{
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"_name_or_path": "defog/sqlcoder-7b-2",
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"architectures": [
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"LlamaForCausalLM"
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"attention_bias": false,
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"use_cache": false,
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"vocab_size": 32016
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}
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generation_config.json
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pytorch_model.bin
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special_tokens_map.json
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"β<EOT>",
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"β<EOT>"
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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"content": "β<EOT>",
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"β<EOT>",
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+
"β<MID>",
|
69 |
+
"β<SUF>",
|
70 |
+
"β<EOT>"
|
71 |
+
],
|
72 |
+
"bos_token": "<s>",
|
73 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
74 |
+
"clean_up_tokenization_spaces": false,
|
75 |
+
"eos_token": "</s>",
|
76 |
+
"eot_token": "β<EOT>",
|
77 |
+
"fill_token": "<FILL_ME>",
|
78 |
+
"legacy": null,
|
79 |
+
"middle_token": "β<MID>",
|
80 |
+
"model_max_length": 1000000000000000019884624838656,
|
81 |
+
"pad_token": "</s>",
|
82 |
+
"prefix_token": "β<PRE>",
|
83 |
+
"sp_model_kwargs": {},
|
84 |
+
"suffix_token": "β<SUF>",
|
85 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
86 |
+
"unk_token": "<unk>",
|
87 |
+
"use_default_system_prompt": false
|
88 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:642b7edcd13cd1e769fd9111aeadb3ba5fc482449ca8335016bea78044e8361d
|
3 |
+
size 7160
|