End of training
Browse files- README.md +106 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- all_results.json +14 -0
- config.json +42 -0
- eval_results.json +8 -0
- special_tokens_map.json +28 -0
- tokenizer.json +0 -0
- tokenizer_config.json +62 -0
- train_results.json +9 -0
- trainer_state.json +630 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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+
license: apache-2.0
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+
library_name: peft
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tags:
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- alignment-handbook
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- generated_from_trainer
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| 7 |
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- trl
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| 8 |
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- sft
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| 9 |
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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| 10 |
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datasets:
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| 11 |
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- generator
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| 12 |
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model-index:
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| 13 |
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- name: data
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| 14 |
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results: []
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| 15 |
+
---
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| 16 |
+
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| 17 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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| 19 |
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| 20 |
+
# data
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| 21 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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+
It achieves the following results on the evaluation set:
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| 24 |
+
- Loss: 1.2003
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| 25 |
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+
## Model description
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| 27 |
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More information needed
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## Intended uses & limitations
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| 31 |
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More information needed
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## Training and evaluation data
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| 35 |
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More information needed
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| 37 |
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| 38 |
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## Training procedure
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| 39 |
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| 40 |
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### Training hyperparameters
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| 41 |
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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| 44 |
+
- train_batch_size: 1
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| 45 |
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- eval_batch_size: 8
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| 46 |
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- seed: 42
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| 47 |
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- gradient_accumulation_steps: 4
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| 48 |
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- total_train_batch_size: 4
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| 49 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 50 |
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- lr_scheduler_type: linear
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| 51 |
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- lr_scheduler_warmup_steps: 1
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| 52 |
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- training_steps: 1000
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| 53 |
+
|
| 54 |
+
### Training results
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| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss |
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| 57 |
+
|:-------------:|:------:|:----:|:---------------:|
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| 58 |
+
| 0.9474 | 0.1479 | 25 | 0.6950 |
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| 59 |
+
| 0.6403 | 0.2959 | 50 | 0.6291 |
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| 60 |
+
| 0.6184 | 0.4438 | 75 | 0.6191 |
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| 61 |
+
| 0.6041 | 0.5917 | 100 | 0.6083 |
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| 62 |
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| 0.6023 | 0.7396 | 125 | 0.6047 |
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| 63 |
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| 0.6086 | 0.8876 | 150 | 0.6014 |
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| 64 |
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| 0.5545 | 1.0355 | 175 | 0.6375 |
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| 65 |
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| 0.4278 | 1.1834 | 200 | 0.6235 |
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| 66 |
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| 0.4297 | 1.3314 | 225 | 0.6276 |
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| 67 |
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| 0.4172 | 1.4793 | 250 | 0.6314 |
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| 68 |
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| 0.4273 | 1.6272 | 275 | 0.6375 |
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| 69 |
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| 0.4264 | 1.7751 | 300 | 0.6345 |
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| 70 |
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| 0.428 | 1.9231 | 325 | 0.6296 |
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| 71 |
+
| 0.3524 | 2.0710 | 350 | 0.7067 |
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| 72 |
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| 0.2697 | 2.2189 | 375 | 0.7314 |
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| 73 |
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| 0.2645 | 2.3669 | 400 | 0.7255 |
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| 74 |
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| 0.2778 | 2.5148 | 425 | 0.7221 |
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| 75 |
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| 0.2687 | 2.6627 | 450 | 0.7373 |
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| 76 |
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| 0.2748 | 2.8107 | 475 | 0.7250 |
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| 77 |
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| 0.2737 | 2.9586 | 500 | 0.7214 |
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| 78 |
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| 0.1848 | 3.1065 | 525 | 0.8414 |
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| 79 |
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| 0.1535 | 3.2544 | 550 | 0.8438 |
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| 80 |
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| 0.1565 | 3.4024 | 575 | 0.8479 |
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| 81 |
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| 0.1583 | 3.5503 | 600 | 0.8719 |
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| 82 |
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| 0.1537 | 3.6982 | 625 | 0.8497 |
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| 83 |
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| 0.1611 | 3.8462 | 650 | 0.8587 |
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| 84 |
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| 0.16 | 3.9941 | 675 | 0.8714 |
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| 85 |
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| 0.0913 | 4.1420 | 700 | 1.0194 |
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| 86 |
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| 0.0841 | 4.2899 | 725 | 1.0429 |
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| 87 |
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| 0.0836 | 4.4379 | 750 | 1.0544 |
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| 88 |
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| 0.0842 | 4.5858 | 775 | 1.0432 |
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| 89 |
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| 0.081 | 4.7337 | 800 | 1.0386 |
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| 90 |
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| 0.0848 | 4.8817 | 825 | 1.0705 |
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| 91 |
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| 0.0776 | 5.0296 | 850 | 1.0773 |
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| 92 |
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| 0.0485 | 5.1775 | 875 | 1.1910 |
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| 93 |
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| 0.0481 | 5.3254 | 900 | 1.1800 |
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| 94 |
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| 0.0481 | 5.4734 | 925 | 1.1915 |
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| 95 |
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| 0.0467 | 5.6213 | 950 | 1.1996 |
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| 96 |
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| 0.0468 | 5.7692 | 975 | 1.1961 |
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| 97 |
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| 0.0449 | 5.9172 | 1000 | 1.2003 |
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| 98 |
+
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| 99 |
+
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### Framework versions
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| 101 |
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| 102 |
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- PEFT 0.10.0
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| 103 |
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- Transformers 4.40.0
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| 104 |
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- Pytorch 2.2.2
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| 105 |
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- Datasets 2.19.0
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| 106 |
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- Tokenizers 0.19.1
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adapter_config.json
ADDED
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| 1 |
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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| 5 |
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"bias": "none",
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| 6 |
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"fan_in_fan_out": false,
|
| 7 |
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"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
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| 9 |
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"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
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"layers_to_transform": null,
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| 12 |
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"loftq_config": {},
|
| 13 |
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"lora_alpha": 32,
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| 14 |
+
"lora_dropout": 0.1,
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| 15 |
+
"megatron_config": null,
|
| 16 |
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"megatron_core": "megatron.core",
|
| 17 |
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"modules_to_save": null,
|
| 18 |
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"peft_type": "LORA",
|
| 19 |
+
"r": 32,
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| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
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| 23 |
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"o_proj",
|
| 24 |
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"q_proj",
|
| 25 |
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"gate_proj",
|
| 26 |
+
"k_proj",
|
| 27 |
+
"v_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
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"use_rslora": false
|
| 32 |
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}
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adapter_model.safetensors
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:35f0093b376116b7612ec6995570455d70c9eca1a2b9373d52d74bc000d2d7e6
|
| 3 |
+
size 708913608
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all_results.json
ADDED
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| 1 |
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{
|
| 2 |
+
"epoch": 5.923076923076923,
|
| 3 |
+
"eval_loss": 1.2003010511398315,
|
| 4 |
+
"eval_runtime": 30.5346,
|
| 5 |
+
"eval_samples": 169,
|
| 6 |
+
"eval_samples_per_second": 2.915,
|
| 7 |
+
"eval_steps_per_second": 0.393,
|
| 8 |
+
"total_flos": 1.7606154086724403e+17,
|
| 9 |
+
"train_loss": 4.533969319902815e-05,
|
| 10 |
+
"train_runtime": 4.4853,
|
| 11 |
+
"train_samples": 1346,
|
| 12 |
+
"train_samples_per_second": 891.803,
|
| 13 |
+
"train_steps_per_second": 222.951
|
| 14 |
+
}
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config.json
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| 1 |
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{
|
| 2 |
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"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
|
| 3 |
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"architectures": [
|
| 4 |
+
"MistralForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 32000,
|
| 8 |
+
"eos_token_id": 32001,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 4096,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 14336,
|
| 13 |
+
"max_position_embeddings": 32768,
|
| 14 |
+
"model_type": "mistral",
|
| 15 |
+
"num_attention_heads": 32,
|
| 16 |
+
"num_hidden_layers": 32,
|
| 17 |
+
"num_key_value_heads": 8,
|
| 18 |
+
"pad_token_id": 32001,
|
| 19 |
+
"quantization_config": {
|
| 20 |
+
"_load_in_4bit": true,
|
| 21 |
+
"_load_in_8bit": false,
|
| 22 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
| 23 |
+
"bnb_4bit_quant_storage": "uint8",
|
| 24 |
+
"bnb_4bit_quant_type": "nf4",
|
| 25 |
+
"bnb_4bit_use_double_quant": false,
|
| 26 |
+
"llm_int8_enable_fp32_cpu_offload": false,
|
| 27 |
+
"llm_int8_has_fp16_weight": false,
|
| 28 |
+
"llm_int8_skip_modules": null,
|
| 29 |
+
"llm_int8_threshold": 6.0,
|
| 30 |
+
"load_in_4bit": true,
|
| 31 |
+
"load_in_8bit": false,
|
| 32 |
+
"quant_method": "bitsandbytes"
|
| 33 |
+
},
|
| 34 |
+
"rms_norm_eps": 1e-05,
|
| 35 |
+
"rope_theta": 1000000.0,
|
| 36 |
+
"sliding_window": null,
|
| 37 |
+
"tie_word_embeddings": false,
|
| 38 |
+
"torch_dtype": "float16",
|
| 39 |
+
"transformers_version": "4.40.0",
|
| 40 |
+
"use_cache": true,
|
| 41 |
+
"vocab_size": 32002
|
| 42 |
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}
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eval_results.json
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| 1 |
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{
|
| 2 |
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"epoch": 5.923076923076923,
|
| 3 |
+
"eval_loss": 1.2003010511398315,
|
| 4 |
+
"eval_runtime": 30.5346,
|
| 5 |
+
"eval_samples": 169,
|
| 6 |
+
"eval_samples_per_second": 2.915,
|
| 7 |
+
"eval_steps_per_second": 0.393
|
| 8 |
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}
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special_tokens_map.json
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| 1 |
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{
|
| 2 |
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"additional_special_tokens": [
|
| 3 |
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{
|
| 4 |
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"content": "<|im_start|>",
|
| 5 |
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"lstrip": false,
|
| 6 |
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"normalized": false,
|
| 7 |
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"rstrip": false,
|
| 8 |
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"single_word": false
|
| 9 |
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},
|
| 10 |
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{
|
| 11 |
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"content": "<|im_end|>",
|
| 12 |
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"lstrip": false,
|
| 13 |
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"normalized": false,
|
| 14 |
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"rstrip": false,
|
| 15 |
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"single_word": false
|
| 16 |
+
}
|
| 17 |
+
],
|
| 18 |
+
"bos_token": "<|im_start|>",
|
| 19 |
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"eos_token": "<|im_end|>",
|
| 20 |
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"pad_token": "<|im_end|>",
|
| 21 |
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"unk_token": {
|
| 22 |
+
"content": "<unk>",
|
| 23 |
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"lstrip": false,
|
| 24 |
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"normalized": false,
|
| 25 |
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"rstrip": false,
|
| 26 |
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"single_word": false
|
| 27 |
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}
|
| 28 |
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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_config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32000": {
|
| 30 |
+
"content": "<|im_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32001": {
|
| 38 |
+
"content": "<|im_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
"additional_special_tokens": [
|
| 47 |
+
"<|im_start|>",
|
| 48 |
+
"<|im_end|>"
|
| 49 |
+
],
|
| 50 |
+
"bos_token": "<|im_start|>",
|
| 51 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 52 |
+
"clean_up_tokenization_spaces": false,
|
| 53 |
+
"eos_token": "<|im_end|>",
|
| 54 |
+
"legacy": true,
|
| 55 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 56 |
+
"pad_token": "<|im_end|>",
|
| 57 |
+
"sp_model_kwargs": {},
|
| 58 |
+
"spaces_between_special_tokens": false,
|
| 59 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 60 |
+
"unk_token": "<unk>",
|
| 61 |
+
"use_default_system_prompt": false
|
| 62 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.923076923076923,
|
| 3 |
+
"total_flos": 1.7606154086724403e+17,
|
| 4 |
+
"train_loss": 4.533969319902815e-05,
|
| 5 |
+
"train_runtime": 4.4853,
|
| 6 |
+
"train_samples": 1346,
|
| 7 |
+
"train_samples_per_second": 891.803,
|
| 8 |
+
"train_steps_per_second": 222.951
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,630 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 5.923076923076923,
|
| 5 |
+
"eval_steps": 25,
|
| 6 |
+
"global_step": 1001,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
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{
|
| 12 |
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"epoch": 0.14792899408284024,
|
| 13 |
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"grad_norm": 0.7053780555725098,
|
| 14 |
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"learning_rate": 0.0001951951951951952,
|
| 15 |
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"loss": 0.9474,
|
| 16 |
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"step": 25
|
| 17 |
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},
|
| 18 |
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{
|
| 19 |
+
"epoch": 0.14792899408284024,
|
| 20 |
+
"eval_loss": 0.6950487494468689,
|
| 21 |
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"eval_runtime": 31.2023,
|
| 22 |
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"eval_samples_per_second": 2.852,
|
| 23 |
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"eval_steps_per_second": 0.385,
|
| 24 |
+
"step": 25
|
| 25 |
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},
|
| 26 |
+
{
|
| 27 |
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"epoch": 0.2958579881656805,
|
| 28 |
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"grad_norm": 0.6385655403137207,
|
| 29 |
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"learning_rate": 0.0001901901901901902,
|
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training_args.bin
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@@ -0,0 +1,3 @@
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