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kiranpantha
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whisper-large-v3-nepali-peft-lora-nep-ds-speaker3-rank16-targetxqv-epochs3

PEFT
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Safetensors
Nepali
Generated from Trainer
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End of training

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Files changed (5) hide show
  1. README.md +5 -5
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. runs/Feb02_18-46-02_idc-training-gpu-compute-03/events.out.tfevents.1738521962.idc-training-gpu-compute-03.289385.4 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -7,7 +7,7 @@ base_model: kiranpantha/whisper-large-v3-nepali
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  tags:
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  - generated_from_trainer
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  datasets:
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- - kiranpantha/OpenSLR54-Balanced-Nepali
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  model-index:
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  - name: kiranpantha/whisper-large-v3-nepali
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  results: []
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [kiranpantha/whisper-large-v3-nepali](https://huggingface.co/kiranpantha/whisper-large-v3-nepali) on the OpenSLR54 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1240
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  ## Model description
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@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.3728 | 1.0 | 28 | 0.1458 |
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- | 0.111 | 2.0 | 56 | 0.1212 |
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- | 0.0357 | 3.0 | 84 | 0.1240 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - kiranpantha/ILPRL_KU_Nep_DS
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  model-index:
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  - name: kiranpantha/whisper-large-v3-nepali
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  results: []
 
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  This model is a fine-tuned version of [kiranpantha/whisper-large-v3-nepali](https://huggingface.co/kiranpantha/whisper-large-v3-nepali) on the OpenSLR54 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1221
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.3728 | 1.0 | 28 | 0.1459 |
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+ | 0.0881 | 2.0 | 56 | 0.1233 |
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+ | 0.0385 | 3.0 | 84 | 0.1221 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -26,8 +26,8 @@
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  "rank_pattern": {},
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "q_proj"
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  "use_dora": false,
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