End of training

README.md

@@ -6,24 +6,7 @@ metrics:
 - wer
 model-index:
 - name: w2v-bert-2.0-ukrainian-colab-CV16.0
-  results:
-  - task:
-      name: Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice uk
-      type: common_voice
-      args: uk
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 9.81
-license: mit
-datasets:
-- common_voice
-language:
-- uk
-pipeline_tag: automatic-speech-recognition
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +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: 0.1386
-- Wer: 0.0981
+- Loss: 0.1438
+- Wer: 0.0987
 
 ## Model description
 
@@ -69,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 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 |
+| 1.0371        | 1.98  | 525  | 0.1509          | 0.1498 |
+| 0.0728        | 3.96  | 1050 | 0.1256          | 0.1279 |
+| 0.0382        | 5.94  | 1575 | 0.1260          | 0.1041 |
+| 0.0213        | 7.92  | 2100 | 0.1333          | 0.0997 |
+| 0.0118        | 9.91  | 2625 | 0.1438          | 0.0987 |
 
 
 ### Framework versions
@@ -81,4 +64,4 @@ The following hyperparameters were used during training:
 - Transformers 4.37.0.dev0
 - Pytorch 1.12.1+cu116
 - Datasets 2.4.0
-- Tokenizers 0.15.1
+- Tokenizers 0.15.1

model.safetensors

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runs/Feb05_09-16-01_nbbl5s368u/events.out.tfevents.1707124967.nbbl5s368u.66.0

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