End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.2861248832363297
+      value: 0.3886613494287562
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Samuael/ethiopic-asr-characters](https://huggingface.co/Samuael/ethiopic-asr-characters) on the alffa_amharic dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3784
-- Wer: 0.2861
-- Phoneme Cer: 0.0783
+- Loss: 0.6916
+- Wer: 0.3887
+- Phoneme Cer: 0.1718
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    | Phoneme Cer |
 |:-------------:|:------:|:----:|:---------------:|:------:|:-----------:|
-| 0.1838        | 0.2312 | 200  | 0.4123          | 0.2914 | 0.0801      |
-| 0.144         | 0.4624 | 400  | 0.4168          | 0.2917 | 0.0792      |
-| 0.1087        | 0.6936 | 600  | 0.4104          | 0.2904 | 0.0785      |
-| 0.1421        | 0.9249 | 800  | 0.3881          | 0.2878 | 0.0793      |
-| 0.105         | 1.1561 | 1000 | 0.3944          | 0.2896 | 0.0781      |
-| 0.189         | 1.3873 | 1200 | 0.3918          | 0.2895 | 0.0793      |
-| 0.1389        | 1.6185 | 1400 | 0.3844          | 0.2886 | 0.0782      |
-| 0.1623        | 1.8497 | 1600 | 0.3784          | 0.2861 | 0.0783      |
+| 4.1459        | 0.2312 | 200  | 4.1380          | 1.0    | 1.0         |
+| 4.0546        | 0.4624 | 400  | 4.0311          | 1.0    | 1.0         |
+| 2.4273        | 0.6936 | 600  | 2.1457          | 0.8099 | 0.3857      |
+| 1.1968        | 0.9249 | 800  | 1.1103          | 0.5042 | 0.2163      |
+| 0.6783        | 1.1561 | 1000 | 0.8584          | 0.4265 | 0.1868      |
+| 0.8966        | 1.3873 | 1200 | 0.7554          | 0.4010 | 0.1781      |
+| 0.5504        | 1.6185 | 1400 | 0.7147          | 0.3942 | 0.1748      |
+| 0.64          | 1.8497 | 1600 | 0.6916          | 0.3887 | 0.1718      |
 
 
 ### Framework versions

config.json

@@ -112,6 +112,6 @@
   "torch_dtype": "float32",
   "transformers_version": "4.46.2",
   "use_weighted_layer_sum": false,
-  "vocab_size": 240,
+  "vocab_size": 270,
   "xvector_output_dim": 512
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf3ec969a8d8eb72e07eb36cead6187264aa29b461a251615b335db641923bc9
-size 1262791480
+oid sha256:a868676f208e9a348b37d9a85d03b3e46a18b35c759bb4676b2fa6a4b4b07a7f
+size 1262914496