End of training

README.md

@@ -16,8 +16,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1408
-- Wer: 0.0965
+- Loss: 0.1386
+- Wer: 0.0981
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.8623        | 1.98  | 520  | 0.1485          | 0.1552 |
-| 0.0716        | 3.96  | 1040 | 0.1323          | 0.1285 |
-| 0.0383        | 5.94  | 1560 | 0.1214          | 0.1044 |
-| 0.0222        | 7.92  | 2080 | 0.1267          | 0.0984 |
-| 0.0127        | 9.9   | 2600 | 0.1408          | 0.0965 |
+| 0.8074        | 1.98  | 520  | 0.1498          | 0.1461 |
+| 0.0694        | 3.96  | 1040 | 0.1243          | 0.1213 |
+| 0.0369        | 5.94  | 1560 | 0.1221          | 0.1059 |
+| 0.0214        | 7.92  | 2080 | 0.1257          | 0.0987 |
+| 0.0115        | 9.9   | 2600 | 0.1386          | 0.0981 |
 
 
 ### Framework versions

model.safetensors

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 size 2422949860

runs/Feb02_10-43-04_nuuym1lkz1/events.out.tfevents.1706871008.nuuym1lkz1.66.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e4729a018b3bda800489626c4cbf71b5829c7ad9e6da1c72b2c364e59d4f7b53
-size 8034
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+size 8388