End of training

README.md

@@ -16,7 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6849
+- eval_loss: 0.6698
+- eval_runtime: 7.0899
+- eval_samples_per_second: 0.987
+- eval_steps_per_second: 0.282
+- epoch: 16.0
+- step: 112
 
 ## Model description
 
@@ -36,75 +41,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.001
-- train_batch_size: 10
+- train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 50
-- num_epochs: 50
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 25
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 1    | 1.0192          |
-| No log        | 2.0   | 2    | 1.0085          |
-| No log        | 3.0   | 3    | 0.9859          |
-| No log        | 4.0   | 4    | 0.9554          |
-| No log        | 5.0   | 5    | 0.9172          |
-| No log        | 6.0   | 6    | 0.8728          |
-| No log        | 7.0   | 7    | 0.8330          |
-| No log        | 8.0   | 8    | 0.7908          |
-| No log        | 9.0   | 9    | 0.7546          |
-| No log        | 10.0  | 10   | 0.7167          |
-| No log        | 11.0  | 11   | 0.6891          |
-| No log        | 12.0  | 12   | 0.6698          |
-| No log        | 13.0  | 13   | 0.6546          |
-| No log        | 14.0  | 14   | 0.6372          |
-| No log        | 15.0  | 15   | 0.6247          |
-| No log        | 16.0  | 16   | 0.6198          |
-| No log        | 17.0  | 17   | 0.6209          |
-| No log        | 18.0  | 18   | 0.6249          |
-| No log        | 19.0  | 19   | 0.6316          |
-| No log        | 20.0  | 20   | 0.6368          |
-| No log        | 21.0  | 21   | 0.6398          |
-| No log        | 22.0  | 22   | 0.6463          |
-| No log        | 23.0  | 23   | 0.6555          |
-| No log        | 24.0  | 24   | 0.6680          |
-| 0.4535        | 25.0  | 25   | 0.6789          |
-| 0.4535        | 26.0  | 26   | 0.6905          |
-| 0.4535        | 27.0  | 27   | 0.7006          |
-| 0.4535        | 28.0  | 28   | 0.7102          |
-| 0.4535        | 29.0  | 29   | 0.7208          |
-| 0.4535        | 30.0  | 30   | 0.7363          |
-| 0.4535        | 31.0  | 31   | 0.7512          |
-| 0.4535        | 32.0  | 32   | 0.7582          |
-| 0.4535        | 33.0  | 33   | 0.7685          |
-| 0.4535        | 34.0  | 34   | 0.7794          |
-| 0.4535        | 35.0  | 35   | 0.7849          |
-| 0.4535        | 36.0  | 36   | 0.7896          |
-| 0.4535        | 37.0  | 37   | 0.7917          |
-| 0.4535        | 38.0  | 38   | 0.8132          |
-| 0.4535        | 39.0  | 39   | 0.7889          |
-| 0.4535        | 40.0  | 40   | 0.7614          |
-| 0.4535        | 41.0  | 41   | 0.7371          |
-| 0.4535        | 42.0  | 42   | 0.7206          |
-| 0.4535        | 43.0  | 43   | 0.7066          |
-| 0.4535        | 44.0  | 44   | 0.7024          |
-| 0.4535        | 45.0  | 45   | 0.7128          |
-| 0.4535        | 46.0  | 46   | 0.7242          |
-| 0.4535        | 47.0  | 47   | 0.7137          |
-| 0.4535        | 48.0  | 48   | 0.7004          |
-| 0.4535        | 49.0  | 49   | 0.6883          |
-| 0.0261        | 50.0  | 50   | 0.6849          |
-
-
 ### Framework versions
 
 - PEFT 0.11.2.dev0
-- Transformers 4.40.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

@@ -23,8 +23,8 @@
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   "use_dora": false,

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