ai-maker-space/mistral-7binstruct-summary-100s
Browse files- README.md +10 -10
- adapter_config.json +2 -2
- adapter_model.safetensors +2 -2
- runs/Mar04_14-45-38_ed9712ffb2e1/events.out.tfevents.1709563538.ed9712ffb2e1.567.1 +3 -0
- runs/Mar04_14-53-42_ed9712ffb2e1/events.out.tfevents.1709564022.ed9712ffb2e1.567.2 +3 -0
- runs/Mar04_14-59-30_ed9712ffb2e1/events.out.tfevents.1709564370.ed9712ffb2e1.567.3 +3 -0
- training_args.bin +1 -1
README.md
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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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- Loss: 1.
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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: 8
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- seed: 42
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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 [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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- Loss: 1.5191
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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: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.6262 | 0.03 | 25 | 1.6082 |
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| 1.5864 | 0.05 | 50 | 1.5514 |
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| 1.5134 | 0.08 | 75 | 1.5421 |
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| 1.4968 | 0.11 | 100 | 1.5329 |
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| 1.5627 | 0.13 | 125 | 1.5259 |
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| 1.5015 | 0.16 | 150 | 1.5221 |
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| 1.5712 | 0.19 | 175 | 1.5195 |
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| 1.4796 | 0.22 | 200 | 1.5191 |
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### Framework versions
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adapter_config.json
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"loftq_config": {},
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"lora_alpha":
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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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"target_modules": [
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"loftq_config": {},
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"lora_alpha": 64,
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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": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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adapter_model.safetensors
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training_args.bin
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