End of training

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
-base_model: facebook/wav2vec2-large-xlsr-53
 datasets:
 - common_voice_16_1
 metrics:
@@ -11,8 +11,8 @@ model-index:
 - name: wav2vec2-common-voice-16_1_vi
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: common_voice_16_1
       type: common_voice_16_1
@@ -20,9 +20,9 @@ model-index:
       split: None
       args: vi
     metrics:
-    - type: wer
-      value: 0.8006303375355835
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 0.8004270028466857
 ---
 
 <!-- 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 [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_16_1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4738
-- Wer: 0.8006
+- Loss: 1.4999
+- Wer: 0.8004
 
 ## Model description
 
@@ -64,20 +64,20 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 17.2554       | 4.24  | 500  | 3.5535          | 1.0    |
-| 3.4431        | 8.47  | 1000 | 3.3988          | 1.0    |
-| 2.4492        | 12.71 | 1500 | 1.7446          | 1.0539 |
-| 0.9214        | 16.95 | 2000 | 1.4497          | 0.8814 |
-| 0.5148        | 21.19 | 2500 | 1.4543          | 0.8333 |
-| 0.3619        | 25.42 | 3000 | 1.4791          | 0.8121 |
-| 0.3003        | 29.66 | 3500 | 1.4738          | 0.8006 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 16.2607       | 4.2373  | 500  | 3.5522          | 0.9999 |
+| 3.4445        | 8.4746  | 1000 | 3.3740          | 0.9999 |
+| 2.2065        | 12.7119 | 1500 | 1.5781          | 0.9709 |
+| 0.7589        | 16.9492 | 2000 | 1.4173          | 0.8542 |
+| 0.4407        | 21.1864 | 2500 | 1.4711          | 0.8281 |
+| 0.3235        | 25.4237 | 3000 | 1.4836          | 0.8097 |
+| 0.2751        | 29.6610 | 3500 | 1.4999          | 0.8004 |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.0
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -109,7 +109,7 @@
     1
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.40.0",
   "use_weighted_layer_sum": false,
   "vocab_size": 98,
   "xvector_output_dim": 512

model.safetensors

@@ -1,3 +1,3 @@
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 size 1262209280

runs/Apr29_06-28-53_eac612c9136b/events.out.tfevents.1714372159.eac612c9136b.2924.0

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training_args.bin

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