End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.1156558533145275
+      value: 0.6459627329192547
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [pinot/wav2vec2-xls-r-300m-ja-cv-14_4](https://huggingface.co/pinot/wav2vec2-xls-r-300m-ja-cv-14_4) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3970
-- Wer: 0.1157
+- Loss: 5.1127
+- Wer: 0.6460
 
 ## Model description
 
@@ -61,17 +61,25 @@ 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: 4
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 0.94  | 2    | 2.2324          | 0.2962 |
-| No log        | 1.88  | 4    | 0.8925          | 0.2073 |
-| No log        | 2.82  | 6    | 0.3568          | 0.1269 |
-| No log        | 3.76  | 8    | 0.3970          | 0.1157 |
+| No log        | 0.59  | 1    | 12.0211         | 0.3851 |
+| No log        | 1.78  | 3    | 12.0211         | 0.3851 |
+| No log        | 2.96  | 5    | 5.0175          | 0.4161 |
+| No log        | 3.56  | 6    | 2.7911          | 0.5093 |
+| No log        | 4.74  | 8    | 2.4989          | 0.5093 |
+| No log        | 5.93  | 10   | 4.0524          | 0.4907 |
+| No log        | 6.52  | 11   | 3.6691          | 0.4720 |
+| No log        | 7.7   | 13   | 4.6285          | 0.5280 |
+| No log        | 8.89  | 15   | 4.5016          | 0.5652 |
+| No log        | 9.48  | 16   | 4.4013          | 0.5776 |
+| No log        | 10.67 | 18   | 4.3718          | 0.6025 |
+| No log        | 11.85 | 20   | 5.1127          | 0.6460 |
 
 
 ### Framework versions

config.json

@@ -9,7 +9,7 @@
   "architectures": [
     "Wav2Vec2ForCTC"
   ],
-  "attention_dropout": 0.3,
+  "attention_dropout": 0.0,
   "bos_token_id": 1,
   "classifier_proj_size": 256,
   "codevector_dim": 768,
@@ -66,7 +66,7 @@
   "mask_feature_prob": 0.0,
   "mask_time_length": 10,
   "mask_time_min_masks": 2,
-  "mask_time_prob": 0.05,
+  "mask_time_prob": 0.0,
   "model_type": "wav2vec2",
   "num_adapter_layers": 3,
   "num_attention_heads": 16,

model.safetensors

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+size 1272479720

runs/Dec03_14-40-36_7252d12d596e/events.out.tfevents.1701614444.7252d12d596e.753.0

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training_args.bin

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 size 4536