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- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-164/README.md +34 -0
- checkpoint-164/adapter_config.json +21 -0
- checkpoint-164/adapter_model.bin +3 -0
- checkpoint-164/optimizer.pt +3 -0
- checkpoint-164/pytorch_model.bin +3 -0
- checkpoint-164/rng_state.pth +3 -0
- checkpoint-164/scheduler.pt +3 -0
- checkpoint-164/special_tokens_map.json +30 -0
- checkpoint-164/tokenizer.model +3 -0
- checkpoint-164/tokenizer_config.json +44 -0
- checkpoint-164/trainer_state.json +343 -0
- checkpoint-164/training_args.bin +3 -0
- checkpoint-168/README.md +34 -0
- checkpoint-168/adapter_config.json +21 -0
- checkpoint-168/adapter_model.bin +3 -0
- checkpoint-168/optimizer.pt +3 -0
- checkpoint-168/pytorch_model.bin +3 -0
- checkpoint-168/rng_state.pth +3 -0
- checkpoint-168/scheduler.pt +3 -0
- checkpoint-168/special_tokens_map.json +30 -0
- checkpoint-168/tokenizer.model +3 -0
- checkpoint-168/tokenizer_config.json +44 -0
- checkpoint-168/trainer_state.json +355 -0
- checkpoint-168/training_args.bin +3 -0
- checkpoint-172/README.md +34 -0
- checkpoint-172/adapter_config.json +21 -0
- checkpoint-172/adapter_model.bin +3 -0
- checkpoint-172/optimizer.pt +3 -0
- checkpoint-172/pytorch_model.bin +3 -0
- checkpoint-172/rng_state.pth +3 -0
- checkpoint-172/scheduler.pt +3 -0
- checkpoint-172/special_tokens_map.json +30 -0
- checkpoint-172/tokenizer.model +3 -0
- checkpoint-172/tokenizer_config.json +44 -0
- checkpoint-172/trainer_state.json +361 -0
- checkpoint-172/training_args.bin +3 -0
- checkpoint-176/README.md +34 -0
- checkpoint-176/adapter_config.json +21 -0
- checkpoint-176/adapter_model.bin +3 -0
- checkpoint-176/optimizer.pt +3 -0
- checkpoint-176/pytorch_model.bin +3 -0
- checkpoint-176/rng_state.pth +3 -0
- checkpoint-176/scheduler.pt +3 -0
- checkpoint-176/special_tokens_map.json +30 -0
- checkpoint-176/tokenizer.model +3 -0
- checkpoint-176/tokenizer_config.json +44 -0
- checkpoint-176/trainer_state.json +367 -0
README.md
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---
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tags:
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- autotrain
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- text-generation
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widget:
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- text: "I love AutoTrain because "
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---
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# Model Trained Using AutoTrain
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "01-ai/Yi-34B",
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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,
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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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"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:d0d970728c41ee58d9d09394814c1d363562c81ec58d5829c692d1bc6496c627
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size 86594570
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checkpoint-164/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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- quant_method: QuantizationMethod.BITS_AND_BYTES
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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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- quant_method: QuantizationMethod.BITS_AND_BYTES
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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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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0
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checkpoint-164/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "01-ai/Yi-34B",
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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,
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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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"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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checkpoint-164/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:681860c8e5ad531989e00690acda26a1e6c0069d0c2b2f6f64e36a88daaf4656
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size 86594570
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checkpoint-164/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9af9cc2dedd4ed734091b0260274ce225436851af9b9f1a5cd3873ff292c203c
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size 173217146
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checkpoint-164/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 888
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checkpoint-164/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14244
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checkpoint-164/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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checkpoint-164/special_tokens_map.json
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{
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"normalized": true,
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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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checkpoint-164/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
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size 1033105
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checkpoint-164/tokenizer_config.json
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{
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"add_bos_token": false,
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"added_tokens_decoder": {
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"normalized": true,
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"special": true
|
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},
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"1": {
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}
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},
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"auto_map": {
|
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"AutoTokenizer": [
|
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"01-ai/Yi-34B--tokenization_yi.YiTokenizer",
|
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null
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]
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},
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"sp_model_kwargs": {},
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"tokenizer_class": "YiTokenizer",
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"unk_token": "<unk>"
|
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}
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checkpoint-164/trainer_state.json
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{
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---
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library_name: peft
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---
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4 |
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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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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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### Framework versions
|
31 |
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32 |
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- PEFT 0.5.0
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33 |
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|
34 |
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- PEFT 0.5.0
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checkpoint-172/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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The following `bitsandbytes` quantization config was used during training:
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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0
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checkpoint-172/training_args.bin
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checkpoint-176/README.md
ADDED
@@ -0,0 +1,34 @@
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|
|
1 |
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---
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2 |
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library_name: peft
|
3 |
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---
|
4 |
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## Training procedure
|
5 |
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|
6 |
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|
7 |
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The following `bitsandbytes` quantization config was used during training:
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8 |
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- quant_method: QuantizationMethod.BITS_AND_BYTES
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9 |
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- load_in_8bit: False
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10 |
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- load_in_4bit: True
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11 |
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- bnb_4bit_use_double_quant: False
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17 |
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- bnb_4bit_compute_dtype: float16
|
18 |
+
|
19 |
+
The following `bitsandbytes` quantization config was used during training:
|
20 |
+
- quant_method: QuantizationMethod.BITS_AND_BYTES
|
21 |
+
- load_in_8bit: False
|
22 |
+
- load_in_4bit: True
|
23 |
+
- llm_int8_threshold: 6.0
|
24 |
+
- llm_int8_skip_modules: None
|
25 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
26 |
+
- llm_int8_has_fp16_weight: False
|
27 |
+
- bnb_4bit_quant_type: nf4
|
28 |
+
- bnb_4bit_use_double_quant: False
|
29 |
+
- bnb_4bit_compute_dtype: float16
|
30 |
+
### Framework versions
|
31 |
+
|
32 |
+
- PEFT 0.5.0
|
33 |
+
|
34 |
+
- PEFT 0.5.0
|
checkpoint-176/adapter_config.json
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"task_type": "CAUSAL_LM"
|
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}
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checkpoint-176/adapter_model.bin
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@@ -0,0 +1,3 @@
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checkpoint-176/optimizer.pt
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size 173217146
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checkpoint-176/pytorch_model.bin
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checkpoint-176/rng_state.pth
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size 14244
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checkpoint-176/scheduler.pt
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checkpoint-176/special_tokens_map.json
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checkpoint-176/tokenizer.model
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