Instructions to use genies-models/llama-30b-math_hard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use genies-models/llama-30b-math_hard with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("models/llama-30b") model = PeftModel.from_pretrained(base_model, "genies-models/llama-30b-math_hard") - Notebooks
- Google Colab
- Kaggle
Commit ·
232c380
1
Parent(s): 28c2ecb
Upload folder using huggingface_hub
Browse files- README.md +21 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +32 -0
- train_args.json +123 -0
- training_args.bin +3 -0
- training_logs.json +1067 -0
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: True
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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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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "models/llama-30b",
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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": 64,
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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": "SEQ_CLS"
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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 sha256:7f71d6c6951c6c274f59f10f4eee211154b309bedb38e021f4bedeb11601df07
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size 409081617
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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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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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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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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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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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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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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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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tokenizer_config.json
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{
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"bos_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"lstrip": false,
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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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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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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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"model_max_length": 2048,
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"pad_token": null,
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<unk>",
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"lstrip": false,
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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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"use_default_system_prompt": true
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}
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train_args.json
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{
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| 2 |
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"initial_model_dir": "models/llama-30b",
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| 3 |
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"distribution_id": "math_hard",
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| 4 |
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"date_trained": "11/10/2023 08:18:27",
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| 5 |
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"output_dir": "models/classify_lora/llama-30b-math_hard",
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| 6 |
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"overwrite_output_dir": false,
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| 7 |
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"do_train": false,
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| 8 |
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"do_eval": true,
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| 9 |
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"do_predict": false,
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| 10 |
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"evaluation_strategy": "steps",
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| 11 |
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"prediction_loss_only": false,
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| 12 |
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"per_device_train_batch_size": 8,
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| 13 |
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"per_device_eval_batch_size": 8,
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| 14 |
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"per_gpu_train_batch_size": null,
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| 15 |
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"per_gpu_eval_batch_size": null,
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| 16 |
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"gradient_accumulation_steps": 1,
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| 17 |
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"eval_accumulation_steps": null,
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| 18 |
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"eval_delay": 0,
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| 19 |
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"learning_rate": 0.0002,
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| 20 |
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"weight_decay": 0.0,
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| 21 |
+
"adam_beta1": 0.9,
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| 22 |
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"adam_beta2": 0.999,
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| 23 |
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"adam_epsilon": 1e-08,
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| 24 |
+
"max_grad_norm": 0.3,
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| 25 |
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"num_train_epochs": 2,
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| 26 |
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"max_steps": 100,
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| 27 |
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"lr_scheduler_type": "constant",
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+
"warmup_ratio": 0.03,
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| 29 |
+
"warmup_steps": 0,
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| 30 |
+
"log_level": "passive",
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| 31 |
+
"log_level_replica": "warning",
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| 32 |
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"log_on_each_node": true,
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| 33 |
+
"logging_dir": "models/classify_lora/llama-30b-math_hard/runs/Oct11_05-49-08_compute-permanent-node-975",
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| 34 |
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"logging_strategy": "steps",
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| 35 |
+
"logging_first_step": false,
|
| 36 |
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"logging_steps": 1,
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| 37 |
+
"logging_nan_inf_filter": true,
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| 38 |
+
"save_strategy": "steps",
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| 39 |
+
"save_steps": 25,
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| 40 |
+
"save_total_limit": 0,
|
| 41 |
+
"save_safetensors": false,
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| 42 |
+
"save_on_each_node": false,
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| 43 |
+
"no_cuda": false,
|
| 44 |
+
"use_cpu": false,
|
| 45 |
+
"use_mps_device": false,
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| 46 |
+
"seed": 42,
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| 47 |
+
"data_seed": null,
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| 48 |
+
"jit_mode_eval": false,
|
| 49 |
+
"use_ipex": false,
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| 50 |
+
"bf16": false,
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| 51 |
+
"fp16": false,
|
| 52 |
+
"fp16_opt_level": "O1",
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| 53 |
+
"half_precision_backend": "auto",
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| 54 |
+
"bf16_full_eval": false,
|
| 55 |
+
"fp16_full_eval": false,
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| 56 |
+
"tf32": null,
|
| 57 |
+
"local_rank": 0,
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| 58 |
+
"ddp_backend": null,
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| 59 |
+
"tpu_num_cores": null,
|
| 60 |
+
"tpu_metrics_debug": false,
|
| 61 |
+
"debug": [],
|
| 62 |
+
"dataloader_drop_last": false,
|
| 63 |
+
"eval_steps": 25,
|
| 64 |
+
"dataloader_num_workers": 0,
|
| 65 |
+
"past_index": -1,
|
| 66 |
+
"run_name": "train|models-classify_lora-llama-30b-math_hard",
|
| 67 |
+
"disable_tqdm": false,
|
| 68 |
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"remove_unused_columns": false,
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| 69 |
+
"label_names": null,
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| 70 |
+
"load_best_model_at_end": false,
|
| 71 |
+
"metric_for_best_model": "eval_math_hard_score",
|
| 72 |
+
"greater_is_better": true,
|
| 73 |
+
"ignore_data_skip": false,
|
| 74 |
+
"sharded_ddp": [],
|
| 75 |
+
"fsdp": [],
|
| 76 |
+
"fsdp_min_num_params": 0,
|
| 77 |
+
"fsdp_config": {
|
| 78 |
+
"min_num_params": 0,
|
| 79 |
+
"xla": false,
|
| 80 |
+
"xla_fsdp_grad_ckpt": false
|
| 81 |
+
},
|
| 82 |
+
"fsdp_transformer_layer_cls_to_wrap": null,
|
| 83 |
+
"deepspeed": "configs/ds_zero_1.json",
|
| 84 |
+
"label_smoothing_factor": 0.0,
|
| 85 |
+
"optim": "paged_adamw_32bit",
|
| 86 |
+
"optim_args": null,
|
| 87 |
+
"adafactor": false,
|
| 88 |
+
"group_by_length": false,
|
| 89 |
+
"length_column_name": "length",
|
| 90 |
+
"report_to": [
|
| 91 |
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"wandb"
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+
],
|
| 93 |
+
"ddp_find_unused_parameters": false,
|
| 94 |
+
"ddp_bucket_cap_mb": null,
|
| 95 |
+
"ddp_broadcast_buffers": null,
|
| 96 |
+
"dataloader_pin_memory": true,
|
| 97 |
+
"skip_memory_metrics": true,
|
| 98 |
+
"use_legacy_prediction_loop": false,
|
| 99 |
+
"push_to_hub": false,
|
| 100 |
+
"resume_from_checkpoint": null,
|
| 101 |
+
"hub_model_id": null,
|
| 102 |
+
"hub_strategy": "every_save",
|
| 103 |
+
"hub_token": null,
|
| 104 |
+
"hub_private_repo": false,
|
| 105 |
+
"hub_always_push": false,
|
| 106 |
+
"gradient_checkpointing": false,
|
| 107 |
+
"include_inputs_for_metrics": false,
|
| 108 |
+
"fp16_backend": "auto",
|
| 109 |
+
"push_to_hub_model_id": null,
|
| 110 |
+
"push_to_hub_organization": null,
|
| 111 |
+
"push_to_hub_token": null,
|
| 112 |
+
"_n_gpu": 1,
|
| 113 |
+
"mp_parameters": "",
|
| 114 |
+
"auto_find_batch_size": false,
|
| 115 |
+
"full_determinism": false,
|
| 116 |
+
"torchdynamo": null,
|
| 117 |
+
"ray_scope": "last",
|
| 118 |
+
"ddp_timeout": 1800,
|
| 119 |
+
"torch_compile": false,
|
| 120 |
+
"torch_compile_backend": null,
|
| 121 |
+
"torch_compile_mode": null,
|
| 122 |
+
"dispatch_batches": null
|
| 123 |
+
}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:93a764fdaf689372fc9812c299850e445c3bc42ecfab1096e9ca2c21e2fbcbd3
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| 3 |
+
size 5115
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training_logs.json
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