End of training
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- model-00002-of-00003.safetensors +1 -1
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README.md
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@@ -4,18 +4,18 @@ base_model: mistralai/Mistral-7B-v0.1
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tags:
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- generated_from_trainer
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model-index:
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- name: Mistral_Sparse_refined_web_50p_2024-03-
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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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# Mistral_Sparse_refined_web_50p_2024-03-
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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: 2.
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## Model description
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- total_eval_batch_size: 3
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps:
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### Training results
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| 2.1997 | 0.05 | 450 | 2.4123 |
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| 2.2937 | 0.06 | 475 | 2.4086 |
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| 2.3067 | 0.06 | 500 | 2.4052 |
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### Framework versions
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tags:
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- generated_from_trainer
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model-index:
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- name: Mistral_Sparse_refined_web_50p_2024-03-22
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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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# Mistral_Sparse_refined_web_50p_2024-03-22
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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: 2.1398
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## Model description
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- total_eval_batch_size: 3
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 751
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### Training results
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| 2.1997 | 0.05 | 450 | 2.4123 |
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| 2.2937 | 0.06 | 475 | 2.4086 |
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| 2.3067 | 0.06 | 500 | 2.4052 |
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| 2.312 | 0.06 | 525 | 2.4060 |
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| 2.257 | 0.07 | 550 | 2.4056 |
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| 2.2729 | 0.07 | 575 | 2.4051 |
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| 2.1952 | 0.07 | 600 | 2.4065 |
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| 2.1225 | 0.07 | 625 | 2.3999 |
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| 2.2168 | 0.08 | 650 | 2.4039 |
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| 2.1682 | 0.08 | 675 | 2.4006 |
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| 2.3027 | 0.08 | 700 | 2.4028 |
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| 2.2077 | 0.09 | 725 | 2.4006 |
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| 2.2119 | 0.09 | 750 | 2.3980 |
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### Framework versions
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model-00001-of-00003.safetensors
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