Luongdzung
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Commit
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End of training
Browse files- README.md +57 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- runs/Nov27_15-21-40_3507c7684099/events.out.tfevents.1732720909.3507c7684099.30.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +62 -0
- training_args.bin +3 -0
README.md
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---
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base_model: vlsp-2023-vllm/hoa-1b4
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library_name: transformers
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model_name: results
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for results
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This model is a fine-tuned version of [vlsp-2023-vllm/hoa-1b4](https://huggingface.co/vlsp-2023-vllm/hoa-1b4).
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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="Luongdzung/results", 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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This model was trained with SFT.
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### Framework versions
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- TRL: 0.12.1
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- Transformers: 4.46.3
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- Pytorch: 2.4.0
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- Datasets: 3.0.1
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- Tokenizers: 0.20.0
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## Citations
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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 Gallouédec},
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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": "vlsp-2023-vllm/hoa-1b4",
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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": 8,
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"lora_dropout": 0.0,
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"dense_h_to_4h",
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"dense",
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"dense_4h_to_h",
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"query_key_value"
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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:d4ae93031ee01b1818b62918c5e7adf0e60f3a677d018941da4351d8eb71bb2a
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size 25192496
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runs/Nov27_15-21-40_3507c7684099/events.out.tfevents.1732720909.3507c7684099.30.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:8858db3c2aa48cac1968a231acb36471c589b20f735ae1c41ab10fa0e6d8214e
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size 42539
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special_tokens_map.json
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{
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"bos_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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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"single_word": false
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},
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"pad_token": "<|endoftext|>",
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"unk_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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}
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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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"0": {
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"content": "<s>",
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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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"special": true
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},
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"1": {
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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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"special": true
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},
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"2": {
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"content": "</s>",
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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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"special": true
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},
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"3": {
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"content": "<unk>",
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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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"special": true
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},
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"4": {
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"content": "<mask>",
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"lstrip": false,
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"rstrip": false,
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},
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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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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "BloomTokenizer",
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"unk_token": "<|endoftext|>",
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"vocab_file": null
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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 sha256:0b5d66772789680902b13842717b772a6fda7b282c6816159b17fa980332d735
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size 5560
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