Commit
·
1e5ab1d
1
Parent(s):
fd42c48
Upload v1 Model 1k steps
Browse files- README.md +18 -1
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1248 -0
- training_args.bin +3 -0
README.md
CHANGED
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@@ -1,3 +1,20 @@
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---
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-
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---
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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: True
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- load_in_4bit: False
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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: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.4.0.dev0
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adapter_config.json
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{
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"base_model_name_or_path": "decapoda-research/llama-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,
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"lora_dropout": 0.05,
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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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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e5e1621f48d9ad8feb1d6d31050275f0aafd080c5c07153301fe2f48411f4406
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size 443
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:40e486e534b16c41b45d08413ceb5f443c0991730446ff950bd02f1ea93d3a71
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size 33661637
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd771d4fdcc07b3c7d3128e34406ab567381117cf663ec63f46bc1ee9385a49b
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size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:fdf9887d830501ed44fcfc9b1240b3894b0a39f156a92a6534273c610fd7f49b
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size 627
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trainer_state.json
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