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Anthos23_FS-distilroberta-fine-tuned-finetuned-lora-ag_news

Text Classification
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Safetensors
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Eval Results
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hilco commited on
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Finished training.

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Files changed (3) hide show
  1. README.md +7 -7
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  args: default
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  metrics:
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  - type: accuracy
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- value: 0.9376315789473684
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  name: accuracy
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  ---
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@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Anthos23/FS-distilroberta-fine-tuned](https://huggingface.co/Anthos23/FS-distilroberta-fine-tuned) on the ag_news dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.9376
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  ## Model description
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@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.2375 | None | 0 |
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- | 0.9276 | 0.2683 | 0 |
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- | 0.9325 | 0.2045 | 1 |
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- | 0.935 | 0.1883 | 2 |
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- | 0.9376 | 0.1773 | 3 |
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  ### Framework versions
 
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  args: default
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  metrics:
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  - type: accuracy
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+ value: 0.9351315789473684
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Anthos23/FS-distilroberta-fine-tuned](https://huggingface.co/Anthos23/FS-distilroberta-fine-tuned) on the ag_news dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.9351
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.1724 | None | 0 |
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+ | 0.9276 | 0.2689 | 0 |
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+ | 0.9316 | 0.2053 | 1 |
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+ | 0.9347 | 0.1889 | 2 |
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+ | 0.9351 | 0.1777 | 3 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -19,8 +19,8 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "value",
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- "query"
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  ],
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  "task_type": "SEQ_CLS",
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  "use_rslora": false
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "query",
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+ "value"
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  ],
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  "task_type": "SEQ_CLS",
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  "use_rslora": false
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 2452296
 
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