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: 0.4073
-- eval_wer: 0.5289
-- eval_runtime: 21.4563
-- eval_samples_per_second: 16.732
-- eval_steps_per_second: 2.097
-- epoch: 5.32
-- step: 1000
+- Loss: 0.4179
+- Wer: 0.4986
 
 ## Model description
 
@@ -40,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
@@ -49,6 +46,28 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 1000
 - num_epochs: 20
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.3208        | 1.23  | 200  | 0.4162          | 0.5180 |
+| 0.3139        | 2.45  | 400  | 0.4169          | 0.5141 |
+| 0.2832        | 3.68  | 600  | 0.4136          | 0.5167 |
+| 0.2904        | 4.91  | 800  | 0.4137          | 0.5144 |
+| 0.255         | 6.13  | 1000 | 0.4149          | 0.5113 |
+| 0.2536        | 7.36  | 1200 | 0.4132          | 0.5108 |
+| 0.2222        | 8.59  | 1400 | 0.4186          | 0.5086 |
+| 0.2247        | 9.82  | 1600 | 0.4134          | 0.5076 |
+| 0.2106        | 11.04 | 1800 | 0.4145          | 0.5093 |
+| 0.2101        | 12.27 | 2000 | 0.4191          | 0.5026 |
+| 0.2383        | 13.5  | 2200 | 0.4183          | 0.5    |
+| 0.2882        | 14.72 | 2400 | 0.4160          | 0.4988 |
+| 0.2337        | 15.95 | 2600 | 0.4166          | 0.4998 |
+| 0.2424        | 17.18 | 2800 | 0.4172          | 0.4985 |
+| 0.2301        | 18.4  | 3000 | 0.4175          | 0.4993 |
+| 0.2257        | 19.63 | 3200 | 0.4179          | 0.4986 |
+
+
 ### Framework versions
 
 - Transformers 4.34.1

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