End of training
Browse files- README.md +25 -61
- adapter_config.json +7 -7
- adapter_model.safetensors +2 -2
- all_results.json +16 -5
- eval_results.json +14 -0
- metrics.json +1 -0
- train_results.json +5 -5
- trainer_state.json +324 -1938
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision Micro: 0.
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- Precision Macro: 0.
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- Recall Micro: 0.
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- Recall Macro: 0.
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- F1 Micro: 0.
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- F1 Macro: 0.
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- Accuracy: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size:
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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-
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision Micro | Precision Macro | Recall Micro | Recall Macro | F1 Micro | F1 Macro | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:---------------:|:------------:|:------------:|:--------:|:--------:|:--------:|
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| 0.0568 | 0.6 | 750 | 0.0421 | 0.7830 | 0.6400 | 0.7830 | 0.6197 | 0.7830 | 0.6035 | 0.7830 |
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| 0.0456 | 0.64 | 800 | 0.0385 | 0.8038 | 0.6660 | 0.8038 | 0.7100 | 0.8038 | 0.6795 | 0.8038 |
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| 0.0465 | 0.68 | 850 | 0.0423 | 0.7868 | 0.7080 | 0.7868 | 0.6536 | 0.7868 | 0.6638 | 0.7868 |
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| 0.0517 | 0.72 | 900 | 0.0405 | 0.7830 | 0.6482 | 0.7830 | 0.5953 | 0.7830 | 0.6044 | 0.7830 |
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| 0.0449 | 0.76 | 950 | 0.0395 | 0.7962 | 0.6783 | 0.7962 | 0.6782 | 0.7962 | 0.6595 | 0.7962 |
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| 0.0438 | 0.79 | 1000 | 0.0415 | 0.7651 | 0.6310 | 0.7651 | 0.6519 | 0.7651 | 0.6270 | 0.7651 |
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| 0.0368 | 0.83 | 1050 | 0.0367 | 0.8142 | 0.7077 | 0.8142 | 0.6998 | 0.8142 | 0.6885 | 0.8142 |
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| 0.0351 | 0.87 | 1100 | 0.0350 | 0.8151 | 0.6864 | 0.8151 | 0.6838 | 0.8151 | 0.6796 | 0.8151 |
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| 0.042 | 0.91 | 1150 | 0.0362 | 0.8066 | 0.6895 | 0.8066 | 0.6593 | 0.8066 | 0.6627 | 0.8066 |
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| 0.0449 | 0.95 | 1200 | 0.0367 | 0.7925 | 0.6685 | 0.7925 | 0.6671 | 0.7925 | 0.6583 | 0.7925 |
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| 0.0331 | 0.99 | 1250 | 0.0382 | 0.8019 | 0.6760 | 0.8019 | 0.6848 | 0.8019 | 0.6661 | 0.8019 |
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| 0.0367 | 1.03 | 1300 | 0.0372 | 0.8038 | 0.7119 | 0.8038 | 0.6501 | 0.8038 | 0.6590 | 0.8038 |
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| 0.0357 | 1.07 | 1350 | 0.0375 | 0.7991 | 0.6822 | 0.7991 | 0.6657 | 0.7991 | 0.6639 | 0.7991 |
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| 0.0405 | 1.11 | 1400 | 0.0354 | 0.8104 | 0.6735 | 0.8104 | 0.7011 | 0.8104 | 0.6823 | 0.8104 |
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| 0.0281 | 1.15 | 1450 | 0.0338 | 0.8302 | 0.6881 | 0.8302 | 0.7082 | 0.8302 | 0.6937 | 0.8302 |
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| 0.0362 | 1.19 | 1500 | 0.0351 | 0.8123 | 0.7044 | 0.8123 | 0.6559 | 0.8123 | 0.6607 | 0.8123 |
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| 0.0214 | 1.23 | 1550 | 0.0350 | 0.8104 | 0.7081 | 0.8104 | 0.6749 | 0.8104 | 0.6779 | 0.8104 |
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| 0.0321 | 1.27 | 1600 | 0.0368 | 0.8094 | 0.7541 | 0.8094 | 0.7254 | 0.8094 | 0.7278 | 0.8094 |
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| 0.0332 | 1.31 | 1650 | 0.0339 | 0.8255 | 0.7291 | 0.8255 | 0.7104 | 0.8255 | 0.7081 | 0.8255 |
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| 0.0306 | 1.35 | 1700 | 0.0339 | 0.8179 | 0.6816 | 0.8179 | 0.6804 | 0.8179 | 0.6770 | 0.8179 |
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| 0.0231 | 1.39 | 1750 | 0.0373 | 0.8179 | 0.6983 | 0.8179 | 0.6881 | 0.8179 | 0.6890 | 0.8179 |
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| 0.0351 | 1.43 | 1800 | 0.0356 | 0.8217 | 0.6989 | 0.8217 | 0.6917 | 0.8217 | 0.6893 | 0.8217 |
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| 0.0259 | 1.47 | 1850 | 0.0335 | 0.8208 | 0.6999 | 0.8208 | 0.6823 | 0.8208 | 0.6885 | 0.8208 |
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| 0.0371 | 1.51 | 1900 | 0.0367 | 0.8123 | 0.7412 | 0.8123 | 0.6617 | 0.8123 | 0.6817 | 0.8123 |
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| 0.0288 | 1.55 | 1950 | 0.0347 | 0.8179 | 0.6758 | 0.8179 | 0.6916 | 0.8179 | 0.6808 | 0.8179 |
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| 0.0252 | 1.59 | 2000 | 0.0357 | 0.8113 | 0.7003 | 0.8113 | 0.6714 | 0.8113 | 0.6787 | 0.8113 |
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| 0.0374 | 1.63 | 2050 | 0.0332 | 0.8208 | 0.7747 | 0.8208 | 0.7233 | 0.8208 | 0.7379 | 0.8208 |
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| 0.0356 | 1.67 | 2100 | 0.0323 | 0.8283 | 0.7425 | 0.8283 | 0.7046 | 0.8283 | 0.7162 | 0.8283 |
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| 0.0294 | 1.71 | 2150 | 0.0346 | 0.8113 | 0.7173 | 0.8113 | 0.7227 | 0.8113 | 0.7101 | 0.8113 |
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| 0.035 | 1.75 | 2200 | 0.0338 | 0.8236 | 0.7591 | 0.8236 | 0.7307 | 0.8236 | 0.7390 | 0.8236 |
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| 0.0432 | 1.79 | 2250 | 0.0348 | 0.8217 | 0.7694 | 0.8217 | 0.7204 | 0.8217 | 0.7295 | 0.8217 |
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| 0.0325 | 1.83 | 2300 | 0.0324 | 0.8330 | 0.7441 | 0.8330 | 0.7231 | 0.8330 | 0.7261 | 0.8330 |
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| 0.0318 | 1.87 | 2350 | 0.0321 | 0.8311 | 0.7397 | 0.8311 | 0.7241 | 0.8311 | 0.7248 | 0.8311 |
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| 0.0315 | 1.91 | 2400 | 0.0335 | 0.8179 | 0.6793 | 0.8179 | 0.7035 | 0.8179 | 0.6858 | 0.8179 |
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| 0.0331 | 1.95 | 2450 | 0.0335 | 0.8179 | 0.7295 | 0.8179 | 0.6879 | 0.8179 | 0.6956 | 0.8179 |
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| 0.0293 | 1.99 | 2500 | 0.0353 | 0.8057 | 0.7027 | 0.8057 | 0.6940 | 0.8057 | 0.6867 | 0.8057 |
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### Framework versions
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0357
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+
- Precision Micro: 0.8047
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- Precision Macro: 0.6995
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- Recall Micro: 0.8047
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- Recall Macro: 0.6609
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- F1 Micro: 0.8047
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- F1 Macro: 0.6661
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- Accuracy: 0.8047
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- training_steps: 725
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision Micro | Precision Macro | Recall Micro | Recall Macro | F1 Micro | F1 Macro | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:---------------:|:------------:|:------------:|:--------:|:--------:|:--------:|
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| 0.0886 | 0.08 | 50 | 0.1082 | 0.5774 | 0.3988 | 0.5774 | 0.3124 | 0.5774 | 0.3222 | 0.5774 |
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| 0.0572 | 0.16 | 100 | 0.0832 | 0.5877 | 0.4716 | 0.5877 | 0.3681 | 0.5877 | 0.3797 | 0.5877 |
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| 0.0496 | 0.24 | 150 | 0.0525 | 0.7311 | 0.5911 | 0.7311 | 0.5747 | 0.7311 | 0.5703 | 0.7311 |
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| 0.0541 | 0.32 | 200 | 0.0464 | 0.7566 | 0.6151 | 0.7566 | 0.5606 | 0.7566 | 0.5584 | 0.7566 |
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| 0.0481 | 0.4 | 250 | 0.0433 | 0.7811 | 0.6636 | 0.7811 | 0.6514 | 0.7811 | 0.6369 | 0.7811 |
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| 0.053 | 0.48 | 300 | 0.0452 | 0.7632 | 0.6936 | 0.7632 | 0.6461 | 0.7632 | 0.6338 | 0.7632 |
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| 0.0401 | 0.56 | 350 | 0.0399 | 0.7943 | 0.7381 | 0.7943 | 0.6604 | 0.7943 | 0.6697 | 0.7943 |
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| 0.0509 | 0.64 | 400 | 0.0393 | 0.8009 | 0.6546 | 0.8009 | 0.6612 | 0.8009 | 0.6501 | 0.8009 |
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| 0.0474 | 0.72 | 450 | 0.0401 | 0.8019 | 0.7255 | 0.8019 | 0.6927 | 0.8019 | 0.6865 | 0.8019 |
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| 0.045 | 0.79 | 500 | 0.0379 | 0.8009 | 0.7147 | 0.8009 | 0.7108 | 0.8009 | 0.6977 | 0.8009 |
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| 0.0335 | 0.87 | 550 | 0.0369 | 0.8151 | 0.7046 | 0.8151 | 0.7335 | 0.8151 | 0.7135 | 0.8151 |
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| 0.0429 | 0.95 | 600 | 0.0367 | 0.7962 | 0.7081 | 0.7962 | 0.6959 | 0.7962 | 0.6878 | 0.7962 |
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| 0.0253 | 1.03 | 650 | 0.0342 | 0.8255 | 0.7370 | 0.8255 | 0.6975 | 0.8255 | 0.7098 | 0.8255 |
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| 0.0311 | 1.11 | 700 | 0.0357 | 0.8047 | 0.6995 | 0.8047 | 0.6609 | 0.8047 | 0.6661 | 0.8047 |
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### Framework versions
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adapter_config.json
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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":
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"lora_dropout": 0.1,
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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":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"gate_proj",
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"score",
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"v_proj",
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"o_proj",
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"q_proj",
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"
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"up_proj"
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],
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"task_type": "SEQ_CLS"
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}
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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": 128.0,
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"lora_dropout": 0.1,
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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": 256,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"o_proj",
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"q_proj",
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"score",
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"up_proj",
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"gate_proj",
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"k_proj",
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"down_proj"
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],
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"task_type": "SEQ_CLS"
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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:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4588a44476ad4d20a67980ab65272547e28c871b645204568d0aee1091e5f12
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size 1348832888
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all_results.json
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{
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"epoch":
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}
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{
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"epoch": 1.15,
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"eval_accuracy": 0.8207547169811321,
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"eval_f1_macro": 0.728031211883242,
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"eval_f1_micro": 0.8207547169811321,
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"eval_loss": 0.03309142589569092,
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"eval_precision_macro": 0.7489147130312945,
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"eval_precision_micro": 0.8207547169811321,
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"eval_recall_macro": 0.7312128559829479,
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"eval_recall_micro": 0.8207547169811321,
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"eval_runtime": 66.9147,
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"eval_samples_per_second": 15.841,
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"eval_steps_per_second": 3.96,
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"train_loss": 0.06415341473858932,
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"train_runtime": 4786.626,
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"train_samples_per_second": 4.847,
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"train_steps_per_second": 0.151
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_accuracy": 0.8207547169811321,
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"eval_f1_macro": 0.728031211883242,
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"eval_f1_micro": 0.8207547169811321,
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"eval_loss": 0.03309142589569092,
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"eval_precision_macro": 0.7489147130312945,
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| 8 |
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"eval_precision_micro": 0.8207547169811321,
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"eval_recall_macro": 0.7312128559829479,
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"eval_recall_micro": 0.8207547169811321,
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"eval_runtime": 66.9147,
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"eval_samples_per_second": 15.841,
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"eval_steps_per_second": 3.96
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}
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metrics.json
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{"run_name": "./output", "train_runtime": 10296.0519, "train_samples_per_second": 3.91, "train_steps_per_second": 0.244, "train_loss": 0.05790289470982191, "epoch": 2.0, "eval_loss": 0.03309142589569092, "eval_precision_micro": 0.8207547169811321, "eval_precision_macro": 0.7489147130312945, "eval_recall_micro": 0.8207547169811321, "eval_recall_macro": 0.7312128559829479, "eval_f1_micro": 0.8207547169811321, "eval_f1_macro": 0.728031211883242, "eval_accuracy": 0.8207547169811321, "eval_runtime": 66.9147, "eval_samples_per_second": 15.841, "eval_steps_per_second": 3.96}
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train_results.json
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{
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"epoch":
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|
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|
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|
|
| 661 |
}
|
| 662 |
],
|
| 663 |
"logging_steps": 10,
|
| 664 |
+
"max_steps": 725,
|
| 665 |
"num_input_tokens_seen": 0,
|
| 666 |
"num_train_epochs": 2,
|
| 667 |
"save_steps": 250,
|
| 668 |
+
"total_flos": 3.949643257934285e+17,
|
| 669 |
+
"train_batch_size": 8,
|
| 670 |
"trial_name": null,
|
| 671 |
"trial_params": null
|
| 672 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6712
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9bf04f3f4781ddaca55355307209daf77a530710545740be26ab36316891d09c
|
| 3 |
size 6712
|