abcdabcd987
commited on
upload
Browse files- README.md +36 -0
- adapter_config.json +28 -0
- adapter_model.bin +3 -0
- all_results.json +7 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
- train_results.json +7 -0
- trainer_log.jsonl +65 -0
- trainer_state.json +412 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- viggo-r16.punica.pt +3 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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base_model: meta-llama/Llama-2-7b-hf
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datasets:
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- GEM/viggo
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language:
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- en
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pipeline_tag: text2text-generation
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tags:
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- punica
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- llama-factory
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- lora
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- generated_from_trainer
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---
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* Base Model: [Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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* LoRA target: `q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj`
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* LoRA rank: 16
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See <https://github.com/punica-ai/punica/tree/master/examples/finetune>
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 4.0
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.2.0.dev20230911+cu121
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- Datasets 2.14.4
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- Tokenizers 0.14.1
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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": "meta-llama/Llama-2-7b-hf",
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16.0,
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"lora_dropout": 0.1,
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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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"k_proj",
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"q_proj",
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"down_proj",
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"up_proj",
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"o_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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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a84fffc0cce7f7b82caceb8fe13a7a4d455001624f981701c0d90689a598ef98
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size 160069834
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all_results.json
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{
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"epoch": 4.0,
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"train_loss": 0.7563483387231826,
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"train_runtime": 1265.7157,
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"train_samples_per_second": 16.127,
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"train_steps_per_second": 0.506
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}
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special_tokens_map.json
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{
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"bos_token": {
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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train_results.json
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trainer_log.jsonl
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