Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-60/README.md +34 -0
- checkpoint-60/adapter_config.json +21 -0
- checkpoint-60/adapter_model.bin +3 -0
- checkpoint-60/optimizer.pt +3 -0
- checkpoint-60/pytorch_model.bin +3 -0
- checkpoint-60/rng_state.pth +3 -0
- checkpoint-60/scheduler.pt +3 -0
- checkpoint-60/special_tokens_map.json +24 -0
- checkpoint-60/tokenizer.json +0 -0
- checkpoint-60/tokenizer.model +3 -0
- checkpoint-60/tokenizer_config.json +33 -0
- checkpoint-60/trainer_state.json +379 -0
- checkpoint-60/training_args.bin +3 -0
- config.json +25 -0
- generation_config.json +10 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +298 -0
- runs/Aug11_12-36-50_e8ebe4bce39e/events.out.tfevents.1691757411.e8ebe4bce39e.5343.0 +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +33 -0
- training_args.bin +3 -0
- training_params.json +41 -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": "meta-llama/Llama-2-7b-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": 32,
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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": 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:da6306044c151ca186abe24c96d098d8a23bae42df27c3381a57bba044a96475
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size 33600461
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checkpoint-60/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: bitsandbytes
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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: bitsandbytes
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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.dev0
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- PEFT 0.5.0.dev0
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checkpoint-60/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-7b-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": 32,
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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": 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-60/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:da6306044c151ca186abe24c96d098d8a23bae42df27c3381a57bba044a96475
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size 33600461
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checkpoint-60/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 67216581
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checkpoint-60/pytorch_model.bin
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size 443
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checkpoint-60/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14575
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checkpoint-60/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 627
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checkpoint-60/special_tokens_map.json
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{
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}
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}
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checkpoint-60/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-60/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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checkpoint-60/tokenizer_config.json
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}
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checkpoint-60/trainer_state.json
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},
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"loss": 2.8456,
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},
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"loss": 2.8668,
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"step": 3
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},
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{
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"eos_token": {
|
12 |
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"__type": "AddedToken",
|
13 |
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"content": "</s>",
|
14 |
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|
15 |
+
"normalized": false,
|
16 |
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"rstrip": false,
|
17 |
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"single_word": false
|
18 |
+
},
|
19 |
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"legacy": false,
|
20 |
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"model_max_length": 1000000000000000019884624838656,
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|
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"padding_side": "right",
|
23 |
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"sp_model_kwargs": {},
|
24 |
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"tokenizer_class": "LlamaTokenizer",
|
25 |
+
"unk_token": {
|
26 |
+
"__type": "AddedToken",
|
27 |
+
"content": "<unk>",
|
28 |
+
"lstrip": false,
|
29 |
+
"normalized": false,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
}
|
33 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:4be1d99759473406b520541d4ca4d0ac8a241002a553b0da5c210481241b879a
|
3 |
+
size 4027
|
training_params.json
ADDED
@@ -0,0 +1,41 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"model_name": "meta-llama/Llama-2-7b-hf",
|
3 |
+
"data_path": ".",
|
4 |
+
"train_split": "train",
|
5 |
+
"valid_split": null,
|
6 |
+
"text_column": "text",
|
7 |
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|
8 |
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|
9 |
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"num_train_epochs": 12,
|
10 |
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"train_batch_size": 4,
|
11 |
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|
12 |
+
"warmup_ratio": 0.1,
|
13 |
+
"gradient_accumulation_steps": 1,
|
14 |
+
"optimizer": "adamw_torch",
|
15 |
+
"scheduler": "linear",
|
16 |
+
"weight_decay": 0.0,
|
17 |
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"max_grad_norm": 1.0,
|
18 |
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"seed": 42,
|
19 |
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"add_eos_token": false,
|
20 |
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"block_size": -1,
|
21 |
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"use_peft": true,
|
22 |
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|
23 |
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|
24 |
+
"lora_dropout": 0.05,
|
25 |
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"training_type": "generic",
|
26 |
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"train_on_inputs": false,
|
27 |
+
"logging_steps": -1,
|
28 |
+
"project_name": "rewiki",
|
29 |
+
"evaluation_strategy": "epoch",
|
30 |
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"save_total_limit": 1,
|
31 |
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"save_strategy": "epoch",
|
32 |
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"auto_find_batch_size": false,
|
33 |
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"fp16": false,
|
34 |
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"push_to_hub": true,
|
35 |
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"use_int8": false,
|
36 |
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"model_max_length": 2048,
|
37 |
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"repo_id": "Captluke/Llama-2-7b-finetune-v2",
|
38 |
+
"use_int4": true,
|
39 |
+
"trainer": "sft",
|
40 |
+
"target_modules": null
|
41 |
+
}
|