End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: wave2vec-base-Am
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wave2vec-base-Am
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 17.7251
+- Wer: 1.0
 
 ## Model description
 
@@ -42,14 +47,18 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 150
-- num_epochs: 1
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer |
-|:-------------:|:------:|:----:|:---------------:|:---:|
-| No log        | 0.9333 | 7    | 61.5295         | 1.0 |
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| No log        | 1.0   | 8    | 28.8111         | 1.0 |
+| No log        | 2.0   | 16   | 27.1709         | 1.0 |
+| No log        | 3.0   | 24   | 23.3666         | 1.0 |
+| 82.8012       | 4.0   | 32   | 19.1785         | 1.0 |
+| 82.8012       | 4.4   | 35   | 17.7251         | 1.0 |
 
 
 ### Framework versions

runs/Mar05_12-33-03_7ae847bbb1b0/events.out.tfevents.1741177984.7ae847bbb1b0.422.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 8177
+oid sha256:1dbb5da5d896a0400d05fc56ed462d66c163ea32f45ad6f13d816fbd4a9747cd
+size 8837