CreatorPhan
commited on
Commit
•
77649d6
1
Parent(s):
eafb612
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +60 -0
- adapter_config.json +25 -0
- adapter_model.bin +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +3 -0
- tokenizer_config.json +10 -0
- trainer_state.json +1219 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,60 @@
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1 |
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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: bitsandbytes
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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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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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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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+
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+
The following `bitsandbytes` quantization config was used during training:
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+
- quant_method: bitsandbytes
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33 |
+
- 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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+
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+
The following `bitsandbytes` quantization config was used during training:
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44 |
+
- quant_method: bitsandbytes
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45 |
+
- load_in_8bit: True
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46 |
+
- load_in_4bit: False
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47 |
+
- 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 0.6.0.dev0
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- PEFT 0.6.0.dev0
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- PEFT 0.6.0.dev0
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- PEFT 0.6.0.dev0
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adapter_config.json
ADDED
@@ -0,0 +1,25 @@
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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": "bigscience/bloomz-3b",
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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": 0.0,
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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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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"dense_4h_to_h",
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"dense",
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"dense_h_to_4h",
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"query_key_value"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:b5d07783590970cc01440af02efb30baf84be013f42d6e324dbec3f1211d5743
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size 39409357
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optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bb4e74f21744cbd194fc93b7a41891675165b22a0068ad1db19aeac49015587
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size 78844421
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rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:972139d83957a9cf2600cb6eeca17287d7a5377c33a53500ae7e13fe830ad36b
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size 14575
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scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:49d3e390b4500e3448050a2123ac7e837c199dcd6015f166fda34e0372e32849
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size 627
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special_tokens_map.json
ADDED
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:85b00d7db4df5df2e3f01cacc3feda246002a672f3356eec7f4b04a22eb0dfbe
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size 14500570
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "BloomTokenizer",
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"unk_token": "<unk>"
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}
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trainer_state.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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