End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: Samuael/asr-alffamharic-phoneme-based
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: asr-alffamharic-phoneme-based
   results: []
@@ -15,13 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Samuael/asr-alffamharic-phoneme-based](https://huggingface.co/Samuael/asr-alffamharic-phoneme-based) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3353
-- eval_wer: 0.4832
-- eval_runtime: 21.1513
-- eval_samples_per_second: 16.973
-- eval_steps_per_second: 2.128
-- epoch: 10.46
-- step: 1600
+- Loss: 0.3396
+- Wer: 0.4617
 
 ## Model description
 
@@ -40,14 +37,35 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0005
 - train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1000
-- num_epochs: 30
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.3593        | 1.31  | 200  | 0.3335          | 0.4799 |
+| 0.3037        | 2.61  | 400  | 0.3348          | 0.4808 |
+| 0.3754        | 3.92  | 600  | 0.3330          | 0.4813 |
+| 0.4145        | 5.23  | 800  | 0.3314          | 0.4760 |
+| 0.3096        | 6.54  | 1000 | 0.3366          | 0.4717 |
+| 0.3487        | 7.84  | 1200 | 0.3360          | 0.4691 |
+| 0.2905        | 9.15  | 1400 | 0.3349          | 0.4687 |
+| 0.3085        | 10.46 | 1600 | 0.3400          | 0.4701 |
+| 0.2703        | 11.76 | 1800 | 0.3351          | 0.4727 |
+| 0.282         | 13.07 | 2000 | 0.3380          | 0.4663 |
+| 0.2757        | 14.38 | 2200 | 0.3398          | 0.4662 |
+| 0.2573        | 15.69 | 2400 | 0.3404          | 0.4614 |
+| 0.3661        | 16.99 | 2600 | 0.3390          | 0.4612 |
+| 0.2983        | 18.3  | 2800 | 0.3389          | 0.4596 |
+| 0.2578        | 19.61 | 3000 | 0.3396          | 0.4617 |
+
 
 ### Framework versions
 

pytorch_model.bin

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 size 377686878

training_args.bin

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