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End of training

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  1. .gitattributes +1 -0
  2. README.md +19 -2
  3. all_results.json +10 -0
  4. eval_results.json +10 -0
  5. trainer_state.json +3 -0
.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ trainer_state.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,9 +1,23 @@
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  ---
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: mistral-1L-mini
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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
@@ -11,7 +25,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # mistral-1L-mini
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- This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 
 
 
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  ## Model description
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  ---
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - roneneldan/TinyStories
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: mistral-1L-mini
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+ results:
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+ - task:
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+ name: Causal Language Modeling
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+ type: text-generation
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+ dataset:
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+ name: roneneldan/TinyStories
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+ type: roneneldan/TinyStories
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.4719044781443692
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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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  # mistral-1L-mini
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+ This model is a fine-tuned version of [](https://huggingface.co/) on the roneneldan/TinyStories dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.3829
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+ - Accuracy: 0.4719
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  ## Model description
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all_results.json ADDED
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+ "eval_steps_per_second": 80.137,
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+ }
eval_results.json ADDED
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+ "perplexity": 10.836427237618361
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+ }
trainer_state.json ADDED
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