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End of training
Browse files- README.md +9 -4
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
README.md
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- sft
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- generated_from_trainer
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model-index:
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- name:
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results: []
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---
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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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#
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| 0.5222 | 1.5903 | 984 | 0.6609 |
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| 0.2609 | 1.7891 | 1107 | 0.6599 |
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| 0.4834 | 1.9879 | 1230 | 0.6601 |
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### Framework versions
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- sft
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- generated_from_trainer
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model-index:
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- name: MistralTry3epochs
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results: []
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---
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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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# MistralTry3epochs
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6716
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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| 0.5222 | 1.5903 | 984 | 0.6609 |
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| 0.2609 | 1.7891 | 1107 | 0.6599 |
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| 0.4834 | 1.9879 | 1230 | 0.6601 |
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| 0.554 | 2.1891 | 1353 | 0.6769 |
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| 0.2486 | 2.3879 | 1476 | 0.6720 |
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| 0.303 | 2.5867 | 1599 | 0.6709 |
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| 0.483 | 2.7855 | 1722 | 0.6716 |
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| 0.6027 | 2.9842 | 1845 | 0.6716 |
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### Framework versions
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model-00001-of-00003.safetensors
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