End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.436
+      value: 0.888
 ---
 
 <!-- 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: 0.7511
-- Wer: 0.436
+- Loss: 1.0213
+- Wer: 0.888
 
 ## Model description
 
@@ -65,17 +65,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer   |
 |:-------------:|:-----:|:----:|:---------------:|:-----:|
-| 4.367         | 1.54  | 20   | 3.3453          | 1.0   |
-| 2.1265        | 3.08  | 40   | 1.7730          | 0.996 |
-| 0.4755        | 4.62  | 60   | 0.8654          | 0.684 |
-| 0.203         | 6.15  | 80   | 0.7436          | 0.56  |
-| 0.1251        | 7.69  | 100  | 0.8143          | 0.548 |
-| 0.0449        | 9.23  | 120  | 0.7511          | 0.436 |
+| 5.5721        | 1.54  | 20   | 3.5316          | 1.0   |
+| 3.3513        | 3.08  | 40   | 3.3113          | 1.0   |
+| 2.9765        | 4.62  | 60   | 3.1604          | 1.016 |
+| 2.0468        | 6.15  | 80   | 2.5162          | 1.02  |
+| 0.8977        | 7.69  | 100  | 1.4944          | 1.008 |
+| 0.3831        | 9.23  | 120  | 1.0213          | 0.888 |
 
 
 ### Framework versions
 
 - Transformers 4.37.0.dev0
-- Pytorch 2.1.0+cu121
+- Pytorch 2.1.2+cu121
 - Datasets 2.16.1
-- Tokenizers 0.15.0
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7a20d869f7e9a6e3f4d33c30c85a5d66f885ce0666032a3a31099dba1d0c3848
+oid sha256:a6f33e2f9677f03cd13f2dee971a5dc628626a1cdcdecfcce775a976db34192c
 size 2422958060