End of training

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: peft
 language:
 - it
 license: apache-2.0
@@ -9,7 +10,6 @@ datasets:
 - ASR_Synthetic_Speecht5_TTS
 metrics:
 - wer
-library_name: peft
 model-index:
 - name: Whisper Medium
   results:
@@ -24,7 +24,7 @@ model-index:
       args: default
     metrics:
     - type: wer
-      value: 71.81688125894135
+      value: 171.5307582260372
       name: Wer
 ---
 
@@ -33,10 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Medium
 
-This model is a fine-tuned version of [b-brave/asr_michael_medium_04-09-2024](https://huggingface.co/b-brave/asr_michael_medium_04-09-2024) on the ASR_Synthetic_Speecht5_TTS dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the ASR_Synthetic_Speecht5_TTS dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5412
-- Wer: 71.8169
+- Loss: 2.9413
+- Wer: 171.5308
 
 ## Model description
 
@@ -56,55 +56,35 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.001
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
-- num_epochs: 3
+- training_steps: 200
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer      |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 4.8154        | 0.0977 | 50   | 3.5107          | 336.0515 |
-| 1.533         | 0.1953 | 100  | 3.2969          | 187.2675 |
-| 1.149         | 0.2930 | 150  | 2.7849          | 151.6452 |
-| 0.9487        | 0.3906 | 200  | 2.6655          | 155.3648 |
-| 0.7776        | 0.4883 | 250  | 2.3826          | 97.4249  |
-| 0.6215        | 0.5859 | 300  | 2.5996          | 126.3233 |
-| 0.5563        | 0.6836 | 350  | 2.5859          | 155.2217 |
-| 0.4523        | 0.7812 | 400  | 2.6057          | 141.6309 |
-| 0.4472        | 0.8789 | 450  | 2.6161          | 92.1316  |
-| 0.3825        | 0.9766 | 500  | 2.5222          | 75.8226  |
-| 0.2964        | 1.0742 | 550  | 2.7815          | 156.7954 |
-| 0.263         | 1.1719 | 600  | 2.7807          | 101.4306 |
-| 0.2474        | 1.2695 | 650  | 2.4792          | 77.9685  |
-| 0.2133        | 1.3672 | 700  | 2.5918          | 84.6924  |
-| 0.2148        | 1.4648 | 750  | 2.7335          | 86.4092  |
-| 0.1955        | 1.5625 | 800  | 2.5843          | 79.1130  |
-| 0.1943        | 1.6602 | 850  | 2.5548          | 70.6724  |
-| 0.1648        | 1.7578 | 900  | 2.5600          | 84.6924  |
-| 0.1411        | 1.8555 | 950  | 2.5128          | 70.8155  |
-| 0.156         | 1.9531 | 1000 | 2.6710          | 76.8240  |
-| 0.1215        | 2.0508 | 1050 | 2.6387          | 68.0973  |
-| 0.092         | 2.1484 | 1100 | 2.5359          | 73.3906  |
-| 0.0896        | 2.2461 | 1150 | 2.5957          | 75.5365  |
-| 0.0861        | 2.3438 | 1200 | 2.5860          | 78.6838  |
-| 0.0827        | 2.4414 | 1250 | 2.5877          | 74.5351  |
-| 0.0893        | 2.5391 | 1300 | 2.5659          | 74.5351  |
-| 0.0815        | 2.6367 | 1350 | 2.5564          | 74.9642  |
-| 0.0599        | 2.7344 | 1400 | 2.5302          | 71.3877  |
-| 0.0621        | 2.8320 | 1450 | 2.5382          | 71.8169  |
-| 0.0598        | 2.9297 | 1500 | 2.5412          | 71.8169  |
+| 6.8678        | 0.0244 | 25   | 4.4434          | 154.2203 |
+| 2.6877        | 0.0489 | 50   | 3.4026          | 144.0629 |
+| 1.8792        | 0.0733 | 75   | 3.2962          | 77.3963  |
+| 1.5587        | 0.0978 | 100  | 3.2969          | 78.9700  |
+| 1.4194        | 0.1222 | 125  | 2.9920          | 75.1073  |
+| 1.2356        | 0.1467 | 150  | 2.9471          | 184.2632 |
+| 1.1741        | 0.1711 | 175  | 2.9542          | 189.4134 |
+| 1.0451        | 0.1956 | 200  | 2.9413          | 171.5308 |
 
 
 ### Framework versions
 
 - PEFT 0.13.2
-- Transformers 4.43.4
+- Transformers 4.44.2
 - Pytorch 2.2.0
 - Datasets 3.1.0
 - Tokenizers 0.19.1

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