Training in progress, step 500
Browse files- .ipynb_checkpoints/lora_orpo-checkpoint.yaml +43 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- lora_orpo.yaml +43 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +126 -0
- trainer_log.jsonl +51 -0
- training_args.bin +3 -0
.ipynb_checkpoints/lora_orpo-checkpoint.yaml
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### model
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model_name_or_path: tiiuae/falcon-7b-instruct
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### method
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stage: orpo
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do_train: true
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finetuning_type: lora
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lora_target: all
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### dataset
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dataset: dpo_mix_en
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dataset_dir: data
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template: falcon
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cutoff_len: 1024
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# max_samples: 1000
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overwrite_cache: true
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preprocessing_num_workers: 16
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### output
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output_dir: saves/Falcon-7B-Instruct/lora/orpo
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logging_steps: 10
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save_steps: 500
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plot_loss: true
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overwrite_output_dir: true
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save_total_limit: 3
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load_best_model_at_end: true
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push_to_hub: true
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hub_model_id: chchen/Falcon-7B-Instruct-ORPO
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### train
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per_device_train_batch_size: 2
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gradient_accumulation_steps: 8
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learning_rate: 0.000005
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num_train_epochs: 3.0
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lr_scheduler_type: cosine
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warmup_steps: 0.1
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bf16: true
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### eval
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val_size: 0.1
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per_device_eval_batch_size: 2
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evaluation_strategy: steps
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eval_steps: 500
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adapter_config.json
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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": "tiiuae/falcon-7b-instruct",
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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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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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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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"query_key_value",
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"dense",
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"dense_h_to_4h",
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"dense_4h_to_h"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:96f29db797cf0416b61c8eaa483b098ffeab002b0817273e3e6040d753a2bd36
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size 65309632
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lora_orpo.yaml
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### model
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model_name_or_path: tiiuae/falcon-7b-instruct
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### method
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stage: orpo
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do_train: true
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finetuning_type: lora
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lora_target: all
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### dataset
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dataset: dpo_mix_en
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dataset_dir: data
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template: falcon
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cutoff_len: 1024
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# max_samples: 1000
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overwrite_cache: true
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preprocessing_num_workers: 16
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### output
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output_dir: saves/Falcon-7B-Instruct/lora/orpo
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logging_steps: 10
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save_steps: 500
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plot_loss: true
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overwrite_output_dir: true
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save_total_limit: 3
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load_best_model_at_end: true
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push_to_hub: true
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hub_model_id: chchen/Falcon-7B-Instruct-ORPO
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### train
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per_device_train_batch_size: 2
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gradient_accumulation_steps: 8
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learning_rate: 0.000005
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num_train_epochs: 3.0
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lr_scheduler_type: cosine
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warmup_steps: 0.1
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bf16: true
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### eval
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val_size: 0.1
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per_device_eval_batch_size: 2
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evaluation_strategy: steps
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eval_steps: 500
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special_tokens_map.json
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{
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|endoftext|>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": ">>TITLE<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": ">>ABSTRACT<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": ">>INTRODUCTION<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": ">>SUMMARY<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"4": {
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"content": ">>COMMENT<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"5": {
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"content": ">>ANSWER<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"6": {
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"content": ">>QUESTION<<",
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"lstrip": false,
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55 |
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"7": {
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"content": ">>DOMAIN<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"8": {
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"content": ">>PREFIX<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"9": {
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"content": ">>SUFFIX<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"10": {
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"content": ">>MIDDLE<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"11": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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">>TITLE<<",
|
103 |
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">>ABSTRACT<<",
|
104 |
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">>INTRODUCTION<<",
|
105 |
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">>SUMMARY<<",
|
106 |
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">>COMMENT<<",
|
107 |
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">>ANSWER<<",
|
108 |
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">>QUESTION<<",
|
109 |
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">>DOMAIN<<",
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110 |
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">>PREFIX<<",
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111 |
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">>SUFFIX<<",
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112 |
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">>MIDDLE<<"
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],
|
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"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'User: ' + content + '\nFalcon:' }}{% elif message['role'] == 'assistant' %}{{ content + '\n' }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": true,
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116 |
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"eos_token": "<|endoftext|>",
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117 |
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 2048,
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122 |
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"pad_token": "<|endoftext|>",
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"padding_side": "right",
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124 |
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"split_special_tokens": false,
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125 |
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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trainer_log.jsonl
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{"current_steps": 10, "total_steps": 1686, "loss": 1.8528, "accuracy": 0.4437499940395355, "learning_rate": 4.9995745934141085e-06, "epoch": 0.017781729273171815, "percentage": 0.59, "elapsed_time": "0:01:36", "remaining_time": "4:30:50"}
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{"current_steps": 20, "total_steps": 1686, "loss": 2.0025, "accuracy": 0.40625, "learning_rate": 4.9982812903243405e-06, "epoch": 0.03556345854634363, "percentage": 1.19, "elapsed_time": "0:03:13", "remaining_time": "4:28:09"}
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{"current_steps": 30, "total_steps": 1686, "loss": 1.9359, "accuracy": 0.512499988079071, "learning_rate": 4.996120496405222e-06, "epoch": 0.05334518781951545, "percentage": 1.78, "elapsed_time": "0:04:49", "remaining_time": "4:26:04"}
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{"current_steps": 40, "total_steps": 1686, "loss": 2.0128, "accuracy": 0.4437499940395355, "learning_rate": 4.99309296196014e-06, "epoch": 0.07112691709268726, "percentage": 2.37, "elapsed_time": "0:06:23", "remaining_time": "4:23:07"}
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{"current_steps": 50, "total_steps": 1686, "loss": 1.9795, "accuracy": 0.46875, "learning_rate": 4.989199738255166e-06, "epoch": 0.08890864636585907, "percentage": 2.97, "elapsed_time": "0:08:00", "remaining_time": "4:22:01"}
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{"current_steps": 60, "total_steps": 1686, "loss": 2.0526, "accuracy": 0.4437499940395355, "learning_rate": 4.984442177154031e-06, "epoch": 0.1066903756390309, "percentage": 3.56, "elapsed_time": "0:09:40", "remaining_time": "4:22:07"}
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{"current_steps": 70, "total_steps": 1686, "loss": 2.0142, "accuracy": 0.44999998807907104, "learning_rate": 4.978821930648704e-06, "epoch": 0.12447210491220272, "percentage": 4.15, "elapsed_time": "0:11:19", "remaining_time": "4:21:30"}
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8 |
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 5240
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