End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.4432919571501445
+      value: 0.4301989457575242
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [kiranpantha/w2v-bert-2.0-nepali](https://huggingface.co/kiranpantha/w2v-bert-2.0-nepali) on the OpenSLR54 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4261
-- Wer: 0.4433
+- Loss: 0.4052
+- Wer: 0.4302
+- Cer: 0.1029
 
 ## Model description
 
@@ -67,21 +68,21 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.7094        | 0.15  | 300  | 0.5443          | 0.5251 |
-| 0.6853        | 0.3   | 600  | 0.5919          | 0.5695 |
-| 0.6881        | 0.45  | 900  | 0.5328          | 0.5230 |
-| 0.6607        | 0.6   | 1200 | 0.5584          | 0.5327 |
-| 0.6213        | 0.75  | 1500 | 0.4977          | 0.4844 |
-| 0.5597        | 0.9   | 1800 | 0.4848          | 0.4679 |
-| 0.5251        | 1.05  | 2100 | 0.4863          | 0.4743 |
-| 0.4622        | 1.2   | 2400 | 0.4603          | 0.4693 |
-| 0.4794        | 1.35  | 2700 | 0.4621          | 0.4647 |
-| 0.4787        | 1.5   | 3000 | 0.4561          | 0.4608 |
-| 0.4931        | 1.65  | 3300 | 0.4469          | 0.4628 |
-| 0.4865        | 1.8   | 3600 | 0.4520          | 0.4793 |
-| 0.4648        | 1.95  | 3900 | 0.4261          | 0.4433 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 0.7515        | 0.15  | 300  | 0.4814          | 0.4911 | 0.1183 |
+| 0.6554        | 0.3   | 600  | 0.5699          | 0.5382 | 0.1385 |
+| 0.6723        | 0.45  | 900  | 0.5463          | 0.5401 | 0.1395 |
+| 0.6635        | 0.6   | 1200 | 0.5244          | 0.5043 | 0.1250 |
+| 0.6132        | 0.75  | 1500 | 0.4725          | 0.4831 | 0.1184 |
+| 0.5786        | 0.9   | 1800 | 0.4620          | 0.4702 | 0.1147 |
+| 0.5639        | 1.05  | 2100 | 0.4810          | 0.4668 | 0.1140 |
+| 0.4863        | 1.2   | 2400 | 0.4639          | 0.4766 | 0.1151 |
+| 0.4784        | 1.35  | 2700 | 0.4527          | 0.4611 | 0.1108 |
+| 0.456         | 1.5   | 3000 | 0.4229          | 0.4458 | 0.1089 |
+| 0.4613        | 1.65  | 3300 | 0.4460          | 0.4478 | 0.1095 |
+| 0.4506        | 1.8   | 3600 | 0.4166          | 0.4413 | 0.1047 |
+| 0.4369        | 1.95  | 3900 | 0.4052          | 0.4302 | 0.1029 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0d72ec80a7981584fabc946c8fab6285f86df11a736e5d4ca0e7287e0f6b5774
 size 2423081060

runs/Sep25_00-18-02_kiran/events.out.tfevents.1727202877.kiran.142986.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b8bb9524fc7493b26db1a918dec61253d0c2b6c6f5af97726c326e373259ae30
-size 13197
+oid sha256:7381c7efe47975b21d70e482b5d7ff9b6ae435397d48040337f2625f4db7c82b
+size 14127