Training in progress, step 500
Browse files- .ipynb_checkpoints/lora_orpo-checkpoint.yaml +43 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- lora_orpo.yaml +43 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -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: mistralai/Mistral-7B-Instruct-v0.3
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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: mistral
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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/Mistral-7B-Instruct-v0.3/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/Mistral-7B-Instruct-v0.3-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": "mistralai/Mistral-7B-Instruct-v0.3",
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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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"gate_proj",
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"up_proj",
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"o_proj",
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"v_proj",
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"q_proj",
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"down_proj",
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"k_proj"
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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 sha256:09a8acfbf35a8a366284f3658253aebf69472fe237cef71ffcef54976eb0d738
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size 83945296
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lora_orpo.yaml
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### model
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model_name_or_path: mistralai/Mistral-7B-Instruct-v0.3
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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: mistral
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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/Mistral-7B-Instruct-v0.3/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/Mistral-7B-Instruct-v0.3-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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"bos_token": {
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"content": "<s>",
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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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"eos_token": {
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"content": "</s>",
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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": "</s>",
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"unk_token": {
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"content": "<unk>",
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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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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
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size 587404
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tokenizer_config.json
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trainer_log.jsonl
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{"current_steps": 10, "total_steps": 1686, "loss": 1.0773, "accuracy": 0.518750011920929, "learning_rate": 4.9995745934141085e-06, "epoch": 0.017781729273171815, "percentage": 0.59, "elapsed_time": "0:02:57", "remaining_time": "8:15:19"}
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{"current_steps": 20, "total_steps": 1686, "loss": 1.1014, "accuracy": 0.5687500238418579, "learning_rate": 4.9982812903243405e-06, "epoch": 0.03556345854634363, "percentage": 1.19, "elapsed_time": "0:05:56", "remaining_time": "8:15:27"}
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{"current_steps": 30, "total_steps": 1686, "loss": 1.0616, "accuracy": 0.6000000238418579, "learning_rate": 4.996120496405222e-06, "epoch": 0.05334518781951545, "percentage": 1.78, "elapsed_time": "0:08:53", "remaining_time": "8:11:16"}
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{"current_steps": 40, "total_steps": 1686, "loss": 1.1331, "accuracy": 0.5375000238418579, "learning_rate": 4.99309296196014e-06, "epoch": 0.07112691709268726, "percentage": 2.37, "elapsed_time": "0:11:49", "remaining_time": "8:06:42"}
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{"current_steps": 50, "total_steps": 1686, "loss": 0.9797, "accuracy": 0.6499999761581421, "learning_rate": 4.989199738255166e-06, "epoch": 0.08890864636585907, "percentage": 2.97, "elapsed_time": "0:14:49", "remaining_time": "8:05:17"}
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{"current_steps": 60, "total_steps": 1686, "loss": 1.0632, "accuracy": 0.550000011920929, "learning_rate": 4.984442177154031e-06, "epoch": 0.1066903756390309, "percentage": 3.56, "elapsed_time": "0:17:54", "remaining_time": "8:05:05"}
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{"current_steps": 70, "total_steps": 1686, "loss": 1.0027, "accuracy": 0.5562499761581421, "learning_rate": 4.978821930648704e-06, "epoch": 0.12447210491220272, "percentage": 4.15, "elapsed_time": "0:21:00", "remaining_time": "8:04:48"}
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{"current_steps": 80, "total_steps": 1686, "loss": 0.9964, "accuracy": 0.550000011920929, "learning_rate": 4.97234095028576e-06, "epoch": 0.14225383418537452, "percentage": 4.74, "elapsed_time": "0:24:06", "remaining_time": "8:03:55"}
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{"current_steps": 90, "total_steps": 1686, "loss": 0.9472, "accuracy": 0.606249988079071, "learning_rate": 4.965001486488743e-06, "epoch": 0.16003556345854633, "percentage": 5.34, "elapsed_time": "0:27:08", "remaining_time": "8:01:18"}
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{"current_steps": 100, "total_steps": 1686, "loss": 0.9857, "accuracy": 0.5874999761581421, "learning_rate": 4.956806087776732e-06, "epoch": 0.17781729273171815, "percentage": 5.93, "elapsed_time": "0:30:02", "remaining_time": "7:56:34"}
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{"current_steps": 120, "total_steps": 1686, "loss": 0.9473, "accuracy": 0.5687500238418579, "learning_rate": 4.937859164748931e-06, "epoch": 0.2133807512780618, "percentage": 7.12, "elapsed_time": "0:35:46", "remaining_time": "7:46:52"}
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{"current_steps": 280, "total_steps": 1686, "loss": 1.018, "accuracy": 0.5687500238418579, "learning_rate": 4.667582519820639e-06, "epoch": 0.49788841964881086, "percentage": 16.61, "elapsed_time": "1:24:37", "remaining_time": "7:04:55"}
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{"current_steps": 290, "total_steps": 1686, "loss": 0.9404, "accuracy": 0.5562499761581421, "learning_rate": 4.643995884038443e-06, "epoch": 0.5156701489219827, "percentage": 17.2, "elapsed_time": "1:27:39", "remaining_time": "7:01:59"}
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{"current_steps": 300, "total_steps": 1686, "loss": 0.9176, "accuracy": 0.543749988079071, "learning_rate": 4.6196647777377475e-06, "epoch": 0.5334518781951545, "percentage": 17.79, "elapsed_time": "1:30:45", "remaining_time": "6:59:18"}
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{"current_steps": 310, "total_steps": 1686, "loss": 0.9431, "accuracy": 0.518750011920929, "learning_rate": 4.59459764953147e-06, "epoch": 0.5512336074683263, "percentage": 18.39, "elapsed_time": "1:33:56", "remaining_time": "6:56:58"}
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|
34 |
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{"current_steps": 340, "total_steps": 1686, "loss": 0.9376, "accuracy": 0.581250011920929, "learning_rate": 4.515068434975298e-06, "epoch": 0.6045787952878418, "percentage": 20.17, "elapsed_time": "1:43:09", "remaining_time": "6:48:24"}
|
35 |
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|
36 |
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{"current_steps": 360, "total_steps": 1686, "loss": 1.0312, "accuracy": 0.53125, "learning_rate": 4.458535099749666e-06, "epoch": 0.6401422538341853, "percentage": 21.35, "elapsed_time": "1:49:11", "remaining_time": "6:42:10"}
|
37 |
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{"current_steps": 370, "total_steps": 1686, "loss": 0.9596, "accuracy": 0.550000011920929, "learning_rate": 4.429243356598694e-06, "epoch": 0.6579239831073572, "percentage": 21.95, "elapsed_time": "1:52:10", "remaining_time": "6:39:00"}
|
38 |
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|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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{"current_steps": 430, "total_steps": 1686, "loss": 0.9024, "accuracy": 0.5687500238418579, "learning_rate": 4.23979704609569e-06, "epoch": 0.7646143587463881, "percentage": 25.5, "elapsed_time": "2:10:08", "remaining_time": "6:20:08"}
|
44 |
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{"current_steps": 440, "total_steps": 1686, "loss": 0.9355, "accuracy": 0.5375000238418579, "learning_rate": 4.206042359103435e-06, "epoch": 0.78239608801956, "percentage": 26.1, "elapsed_time": "2:13:11", "remaining_time": "6:17:09"}
|
45 |
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|
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|
47 |
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{"current_steps": 470, "total_steps": 1686, "loss": 0.9289, "accuracy": 0.4937500059604645, "learning_rate": 4.1012718195077196e-06, "epoch": 0.8357412758390753, "percentage": 27.88, "elapsed_time": "2:22:09", "remaining_time": "6:07:48"}
|
48 |
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{"current_steps": 480, "total_steps": 1686, "loss": 0.8996, "accuracy": 0.581250011920929, "learning_rate": 4.065219902796953e-06, "epoch": 0.8535230051122472, "percentage": 28.47, "elapsed_time": "2:25:04", "remaining_time": "6:04:29"}
|
49 |
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{"current_steps": 490, "total_steps": 1686, "loss": 0.8747, "accuracy": 0.581250011920929, "learning_rate": 4.028624486874608e-06, "epoch": 0.871304734385419, "percentage": 29.06, "elapsed_time": "2:28:05", "remaining_time": "6:01:28"}
|
50 |
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{"current_steps": 500, "total_steps": 1686, "loss": 0.9464, "accuracy": 0.5062500238418579, "learning_rate": 3.99149827895177e-06, "epoch": 0.8890864636585908, "percentage": 29.66, "elapsed_time": "2:31:12", "remaining_time": "5:58:39"}
|
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{"current_steps": 500, "total_steps": 1686, "eval_loss": 0.8918758630752563, "epoch": 0.8890864636585908, "percentage": 29.66, "elapsed_time": "2:37:01", "remaining_time": "6:12:27"}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:346457aadedbdd0c4ca7d318ce433488da82e0ffc0b5d5673bac6ee8814ec494
|
3 |
+
size 5240
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