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Delete instruct
Browse files- instruct/README.md +0 -20
- instruct/adapter_config.json +0 -20
- instruct/adapter_model.bin +0 -3
- instruct/all_results.json +0 -7
- instruct/finetuning_args.json +0 -13
- instruct/train_results.json +0 -7
- instruct/trainer_log.jsonl +0 -114
- instruct/trainer_state.json +0 -367
- instruct/training_args.bin +0 -3
- instruct/training_loss.png +0 -0
instruct/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.4.0.dev0
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instruct/adapter_config.json
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{
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"base_model_name_or_path": "Open-Orca/OpenOrca-Preview1-13B",
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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": 32.0,
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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": 8,
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"revision": null,
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"target_modules": [
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"q_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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instruct/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee873dcba4592cbe930fa73f24f9136dd7b5ff5bae6824d84653234441634063
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size 26269517
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instruct/all_results.json
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{
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"epoch": 1.0,
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"train_loss": 1.4581370320699618,
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"train_runtime": 1932.4895,
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"train_samples_per_second": 4.782,
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"train_steps_per_second": 0.299
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}
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instruct/finetuning_args.json
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{
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"finetuning_type": "lora",
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"lora_alpha": 32.0,
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"lora_dropout": 0.1,
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"lora_rank": 8,
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"lora_target": [
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"q_proj",
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"v_proj"
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],
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"name_module_trainable": "mlp",
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"num_hidden_layers": 32,
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"num_layer_trainable": 3
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}
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instruct/train_results.json
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{
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"train_loss": 1.4581370320699618,
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"train_samples_per_second": 4.782,
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"train_steps_per_second": 0.299
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}
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instruct/trainer_log.jsonl
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