End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: whisper-tiny-akan
   results: []
@@ -16,13 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 2.0923
-- eval_wer: 104.6163
-- eval_runtime: 101.6449
-- eval_samples_per_second: 1.968
-- eval_steps_per_second: 0.246
-- epoch: 20.0
-- step: 500
+- Loss: 1.1400
+- Wer: 49.1687
 
 ## Model description
 
@@ -42,7 +39,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 32
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -51,6 +48,20 @@ The following hyperparameters were used during training:
 - training_steps: 2000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3923        | 5.0   | 250  | 0.8148          | 61.9777 |
+| 0.1045        | 10.0  | 500  | 0.9445          | 53.9829 |
+| 0.0414        | 15.0  | 750  | 1.0241          | 49.9639 |
+| 0.0187        | 20.0  | 1000 | 1.0862          | 51.7999 |
+| 0.0089        | 25.0  | 1250 | 1.1386          | 51.1927 |
+| 0.0025        | 30.0  | 1500 | 1.1284          | 49.1832 |
+| 0.0004        | 35.0  | 1750 | 1.1355          | 48.7061 |
+| 0.0004        | 40.0  | 2000 | 1.1400          | 49.1687 |
+
+
 ### Framework versions
 
 - Transformers 4.44.2

generation_config.json

@@ -31,7 +31,6 @@
   ],
   "bos_token_id": 50257,
   "decoder_start_token_id": 50258,
-  "dropout": 0.1,
   "eos_token_id": 50257,
   "is_multilingual": true,
   "lang_to_id": {