End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.6335163938883149
+      value: 0.5294437496601598
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the common_voice_16_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8518
-- Wer: 0.6335
+- Loss: 0.6609
+- Wer: 0.5294
 
 ## Model description
 
@@ -67,8 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 4.0945        | 1.44  | 100  | 2.8435          | 0.9982 |
-| 1.146         | 2.88  | 200  | 0.8518          | 0.6335 |
+| 4.0761        | 0.79  | 100  | 3.1012          | 1.0    |
+| 1.4813        | 1.58  | 200  | 0.8060          | 0.6263 |
+| 0.5653        | 2.37  | 300  | 0.6609          | 0.5294 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:300ad2ddf40c137fb12975eefcb6a177dca00ae17d59215141b7c374165b24d5
+oid sha256:e905fb4e05cb4f2e579f0678f38c9b7db027ff3bd807fedea60353aa9c5d7d1c
 size 2423040060

runs/Jan11_12-32-58_53564bde2ef3/events.out.tfevents.1704976451.53564bde2ef3.8880.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3ed67ab47496051d532e14f4a5acfc8a77b77d100df0bb49e2d9e54726bab65e
-size 6590
+oid sha256:342f481b0ab452b511dc8efb0c00f95ad113b400ef4c7d4bbdc96caac683cdac
+size 7419