Model save
Browse files- last-checkpoint/README.md → README.md +12 -0
- last-checkpoint/adapter_config.json +0 -22
- last-checkpoint/adapter_model.bin +0 -3
- last-checkpoint/optimizer.pt +0 -3
- last-checkpoint/rng_state.pth +0 -3
- last-checkpoint/scheduler.pt +0 -3
- last-checkpoint/special_tokens_map.json +0 -6
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +0 -9
- last-checkpoint/trainer_state.json +0 -76
- last-checkpoint/training_args.bin +0 -3
- runs/Jul04_00-42-28_06a0078a8833/events.out.tfevents.1688431447.06a0078a8833.315.0 +2 -2
last-checkpoint/README.md → README.md
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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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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.4.0.dev0
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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: False
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- bnb_4bit_compute_dtype: float16
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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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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.4.0.dev0
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- PEFT 0.4.0.dev0
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last-checkpoint/adapter_config.json
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{
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"base_model_name_or_path": "togethercomputer/RedPajama-INCITE-Base-3B-v1",
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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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"target_modules": [
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"query_key_value",
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"dense",
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"dense_h_to_4h",
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"task_type": "CAUSAL_LM"
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last-checkpoint/tokenizer.json
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last-checkpoint/tokenizer_config.json
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last-checkpoint/training_args.bin
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runs/Jul04_00-42-28_06a0078a8833/events.out.tfevents.1688431447.06a0078a8833.315.0
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