End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Medium En - Harpreet Singh
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Medical_data dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Medicine_data dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.4131
+- Loss: 2.5904
 
 ## Model description
 
@@ -40,20 +40,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.001
-- train_batch_size: 1
+- train_batch_size: 5
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
-- training_steps: 100
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.3772        | 0.1   | 100  | 5.4131          |
+| 1.8314        | 2.5   | 1000 | 2.5904          |
 
 
 ### Framework versions

adapter_config.json

@@ -23,8 +23,8 @@
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-    "v_proj"
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   "task_type": null,
   "use_dora": false,

adapter_model.safetensors

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runs/Dec05_09-34-42_dd6b5fb7525a/events.out.tfevents.1733391340.dd6b5fb7525a.6161.0

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training_args.bin

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