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aXhyra_presentation_emotion_31415-finetuned-lora-tweet_eval_irony

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Eval Results
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Finished training.

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Files changed (3) hide show
  1. README.md +11 -11
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  args: irony
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  metrics:
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  - type: accuracy
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- value: 0.6554973821989529
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  name: accuracy
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  ---
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@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [aXhyra/presentation_emotion_31415](https://huggingface.co/aXhyra/presentation_emotion_31415) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6555
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  ## Model description
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@@ -65,15 +65,15 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.4492 | None | 0 |
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- | 0.6105 | 0.6920 | 0 |
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- | 0.6387 | 0.6433 | 1 |
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- | 0.6398 | 0.5927 | 2 |
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- | 0.6618 | 0.5630 | 3 |
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- | 0.6461 | 0.5378 | 4 |
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- | 0.6314 | 0.5210 | 5 |
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- | 0.6461 | 0.4998 | 6 |
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- | 0.6555 | 0.4885 | 7 |
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  ### Framework versions
 
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  args: irony
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  metrics:
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  - type: accuracy
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+ value: 0.6460732984293194
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [aXhyra/presentation_emotion_31415](https://huggingface.co/aXhyra/presentation_emotion_31415) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6461
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.5403 | None | 0 |
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+ | 0.6094 | 0.6959 | 0 |
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+ | 0.6356 | 0.6475 | 1 |
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+ | 0.6304 | 0.6034 | 2 |
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+ | 0.6482 | 0.5717 | 3 |
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+ | 0.6429 | 0.5450 | 4 |
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+ | 0.6356 | 0.5305 | 5 |
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+ | 0.6461 | 0.5042 | 6 |
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+ | 0.6461 | 0.4962 | 7 |
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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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- "q_lin",
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- "v_lin"
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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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+ "v_lin",
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+ "q_lin"
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  ],
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  "task_type": "SEQ_CLS",
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  "use_rslora": false
adapter_model.safetensors CHANGED
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