End of training

README.md

@@ -3,9 +3,6 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: wav2vec2-attempt2
   results: []
@@ -17,10 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-attempt2
 
 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: 3.1319
-- Accuracy: 0.0667
-- F1: 0.0121
 
 ## Model description
 
@@ -48,21 +41,9 @@ 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_ratio: 0.1
-- num_epochs: 6
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 0.96  | 2    | 3.1337          | 0.0444   | 0.0066 |
-| No log        | 1.92  | 4    | 3.1337          | 0.0444   | 0.0066 |
-| No log        | 2.88  | 6    | 3.1341          | 0.0444   | 0.0128 |
-| No log        | 3.84  | 8    | 3.1299          | 0.0444   | 0.0043 |
-| 3.1206        | 4.8   | 10   | 3.1281          | 0.0444   | 0.0042 |
-| 3.1206        | 5.76  | 12   | 3.1319          | 0.0667   | 0.0121 |
-
-
 ### Framework versions
 
 - Transformers 4.36.2

model.safetensors

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