End of training

README.md

@@ -2,8 +2,8 @@
 base_model: ylacombe/w2v-bert-2.0
 tags:
 - generated_from_trainer
-datasets:
-- common_voice_16_0
+metrics:
+- wer
 model-index:
 - name: w2v-bert-2.0-ukrainian-colab-CV16.0
   results: []
@@ -14,7 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # w2v-bert-2.0-ukrainian-colab-CV16.0
 
-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.
+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
 
 ## Model description
 
@@ -42,11 +45,18 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 1
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| 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 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 2422970360

runs/Jan31_15-57-30_nzdu7szc80/events.out.tfevents.1706717148.nzdu7szc80.32.0

@@ -1,3 +1,3 @@
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+size 8388