End of training
Browse files- README.md +16 -16
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- metrics.jsonl +5 -126
- metrics_epoch_1.9607843137254903_fold_0_lr_1e-05_seed_9012_weight_10.0.json +1 -0
- metrics_epoch_2.980392156862745_fold_0_lr_1e-05_seed_9012_weight_10.0.json +1 -0
- metrics_epoch_4.0_fold_0_lr_1e-05_seed_9012_weight_10.0.json +1 -0
- metrics_epoch_4.9411764705882355_fold_0_lr_1e-05_seed_9012_weight_10.0.json +1 -0
- metrics_epoch_5.647058823529412_fold_0_lr_1e-05_seed_9012_weight_10.0.json +1 -0
- results_epoch_1.9607843137254903_fold_0_lr_1e-05_seed_9012_weight_10.0.json +0 -0
- results_epoch_2.980392156862745_fold_0_lr_1e-05_seed_9012_weight_10.0.json +0 -0
- results_epoch_4.0_fold_0_lr_1e-05_seed_9012_weight_10.0.json +0 -0
- results_epoch_4.9411764705882355_fold_0_lr_1e-05_seed_9012_weight_10.0.json +0 -0
- results_epoch_5.647058823529412_fold_0_lr_1e-05_seed_9012_weight_10.0.json +0 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Eval/rewards/chosen:
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- Eval/logps/chosen: -
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- Eval/rewards/margins: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 1
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- eval_batch_size: 2
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- seed: 9012
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6916
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- Eval/rewards/chosen: -0.4209
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- Eval/logps/chosen: -211.7889
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- Eval/rewards/rejected: -0.4483
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- Eval/logps/rejected: -226.0602
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- Eval/rewards/margins: 0.0274
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- Eval/kl: 0.0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 2
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- seed: 9012
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 1.074 | 0.9412 | 12 | 1.9606 | 0.0013 |
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| 1.0223 | 1.9608 | 25 | 1.8546 | 0.0 |
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| 0.9832 | 2.9804 | 38 | 1.7737 | 0.0 |
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| 0.9095 | 4.0 | 51 | 1.6998 | 0.0 |
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| 0.9155 | 4.9412 | 63 | 1.6833 | 0.0 |
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| 0.5901 | 5.6471 | 72 | 1.6916 | 0.0 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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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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"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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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"q_proj",
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"k_proj",
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"v_proj"
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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metrics_epoch_1.9607843137254903_fold_0_lr_1e-05_seed_9012_weight_10.0.json
ADDED
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1 |
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{"epoch": 1.9607843137254903, "precision": 0.4897959173677634, "recall": 0.9999999958333333, "fold": 0}
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metrics_epoch_2.980392156862745_fold_0_lr_1e-05_seed_9012_weight_10.0.json
ADDED
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1 |
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{"epoch": 2.980392156862745, "precision": 0.48888888780246914, "recall": 0.9166666628472222, "fold": 0}
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metrics_epoch_4.0_fold_0_lr_1e-05_seed_9012_weight_10.0.json
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metrics_epoch_4.9411764705882355_fold_0_lr_1e-05_seed_9012_weight_10.0.json
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metrics_epoch_5.647058823529412_fold_0_lr_1e-05_seed_9012_weight_10.0.json
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results_epoch_1.9607843137254903_fold_0_lr_1e-05_seed_9012_weight_10.0.json
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results_epoch_2.980392156862745_fold_0_lr_1e-05_seed_9012_weight_10.0.json
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results_epoch_4.0_fold_0_lr_1e-05_seed_9012_weight_10.0.json
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results_epoch_4.9411764705882355_fold_0_lr_1e-05_seed_9012_weight_10.0.json
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training_args.bin
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