End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - zeroth_korean
+metrics:
+- wer
 model-index:
 - name: wav2vec2-large-xlsr-test
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: zeroth_korean
+      type: zeroth_korean
+      config: clean
+      split: None
+      args: clean
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-xlsr-test
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the zeroth_korean dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.8883
+- Wer: 1.0
 
 ## Model description
 
@@ -41,11 +59,14 @@ 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: 1000
-- num_epochs: 30
+- num_epochs: 50
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 4.3921        | 50.0  | 1000 | 3.8883          | 1.0 |
 
 
 ### Framework versions

config.json

@@ -86,7 +86,7 @@
   "num_hidden_layers": 24,
   "num_negatives": 100,
   "output_hidden_size": 1024,
-  "pad_token_id": 50,
+  "pad_token_id": 1204,
   "proj_codevector_dim": 768,
   "tdnn_dilation": [
     1,
@@ -112,6 +112,6 @@
   "torch_dtype": "float32",
   "transformers_version": "4.40.2",
   "use_weighted_layer_sum": false,
-  "vocab_size": 53,
+  "vocab_size": 1207,
   "xvector_output_dim": 512
 }

model.safetensors

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+size 1266756196

runs/May21_07-29-18_a5c818e92daf/events.out.tfevents.1716276599.a5c818e92daf.564.1

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training_args.bin

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